Дисертації: "Medical resonance imaging"

1

Rajanayagam, Vasanthakumar. "Non-medical applications of imaging techniques : multi-dimensional NMR imaging." Thesis, University of British Columbia, 1986. http://hdl.handle.net/2429/27513.

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The work described in this thesis concentrates on two aspects of Proton NMR imaging: development and evaluation of new/old experimental sequences and application of those techniques to study some non-medical systems that are of industrial importance. Two-dimensional Fourier transform spin warp imaging technique has been evaluated. Importantly, the adaptation of a conventional high resolution spectrometer to perform imaging has been demonstrated with means of "phantoms". This includes calibration of magnetic field gradients, mapping the static magnetic field and radiofrequency field distributions and intensity measurements related to proton spin densities. In addition, a preliminary study describes microscopic imaging of glass capillary tube phantoms containing water. Several different sequences related to Chemical Shift imaging including the one developed during the study have been described. A brief insight into chemical shift artifacts as well as some experimental methods of minimizing some of them have also been presented. The potential of NMR imaging to study non-medical systems has been explored in three different areas of interest: Chromatography columns. Porous rock samples and Wood samples. A variety of NMR imaging sequences have been used to study some interesting and challenging features of these systems which clearly extends the scope of NMR imaging science.
Science, Faculty of
Chemistry, Department of
Graduate

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2

O'Neil, Shannon M. "Magnetic resonance imaging centers /." Online version of thesis, 1994. http://hdl.handle.net/1850/11916.

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3

Campbell, Jennifer 1975. "Magnetic resonance diffusion tensor imaging." Thesis, McGill University, 2000. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=30809.

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Magnetic resonance imaging (MRI) can be used to image diffusion in liquids, such as water in brain structures. Molecular diffusion can be isotropic or anisotropic, depending on the fluid's environment, and can therefore be characterized by a scalar, D, or by a tensor, D, in the respective cases. For anisotropic environments, the eigenvector of D corresponding to the largest eigenvalue indicates the preferred direction of diffusion.
This thesis describes the design and implementation of diffusion tensor imaging on a clinical MRI system. An acquisition sequence was designed and post-processing software developed to create diffusion trace images, scalar anisotropy maps, and anisotropy vector maps. A number of practical imaging problems were addressed and solved, including optimization of sequence parameters, accounting for flow effects, and dealing with eddy currents, patient motion, and ghosting. Experimental validation of the sequence was performed by calculating the trace of the diffusion tensor measured in various isotropic liquids. The results agreed very well with the quantitative values found in the literature, and the scalar anisotropy index was also found to be correct in isotropic phantoms. Anisotropy maps, showing the preferred direction of diffusion, were generated in human brain in vivo. These showed the expected white matter tracts in the corpus callosum.

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4

Munasinghe, B. D. Jeeva P. "Nuclear magnetic resonance imaging of mice." Thesis, University of Cambridge, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337912.

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5

Williams, Catherine F. M. "Diffusion-weighted magnetic resonance imaging techniques." Thesis, University of Aberdeen, 1998. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU602003.

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The aim of this project was to compare and evaluate other, non-EPI, diffusion-weighted MRI (DWI) sequences, through imaging experiments, on a phantom and in vivo, (using a 0.95 T system) and computer simulations, and to develop improved DWI methodology which could be implemented on standard hardware. Pulsed gradient spin echo (PGSE) and diffusion-weighted STEAM are slow multiple shot sequences, with measurement times of several minutes. Both sequences are highly sensitive to patient motion, but motion artifact was virtually eliminated using navigator echo phase correction and EGG triggering when diffusion-sensitisation was in the phase-encoding direction. It was demonstrated that both sequences can provide high quality images and allow accurate and straightforward diffusion-coefficient measurement when an imaging time period in the region of 20-30 minutes is available and when diffusion-sensitisation is required in one or two directions. A third direction of diffusion-sensitisation may be feasible if more sophisticated immobilisation or phase correction techniques are employed. A choice between PGSE or STEAM for a given application should take account of the Ti and T2 values of the imaged tissues, since a higher SNR might be provided by STEAM when the T1T2 ratio is high. A diffusion-weighted CE-FAST sequence was implemented with the novel modification of acquisition of a navigator gradient-echo, which was shown to reduce motion artifact when diffusion-sensitisation was in the phase-encoding direction. However, it has been demonstrated by other workers that unknown signal losses due to motion-induced phase incoherence between signal components may remain. The SNR (normalised with respect to the square root of the imaging time) in the phantom and in white matter was similar to that obtained using PGSE, but an advantage of CE- FAST is that it can be performed in a fraction of the measurement time of PGSE. Diffusion-sensitivity was much higher than in other sequences and the diffusion- attenuation was found to agree with an analysis presented in the literature. However, a major disadvantage of the technique, which precludes its use for many DWI applications, is the requirement of accurate knowledge of Ti, T2 and flip angle in order to calculate the diffusion coefficient or tensor. Prior to a study of diffusion-weighted snapshot FLASH, the effects of magnetisation evolution during snapshot FLASH acquisition on image quality and parameter measurement accuracy were first investigated, through phantom experiments and computer simulations, in the context of a r2-weighted snapshot FLASH sequence. It was demonstrated that magnetisation evolution effects can lead to significant error in parameter measurement, but that this error can be eliminated by using crusher gradients to prevent evolved magnetisation from contributing to the acquired signal. However, qualitative effects are not entirely eliminated, since a significant degree of edge blurring may remain, and there is a 50% loss of SNR inherent to the crusher gradient technique. It was then shown, theoretically and experimentally, that in diffusion-weighted snapshot FLASH, the crusher gradient technique not only addresses the problem of magnetisation evolution, but also eliminates the effect of phase shifts arising during the diffusion-preparation sequence.

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6

Hirsch, Thomas John 1958. "APPLICATION OF ACOUSTIC NUCLEAR MAGNETIC RESONANCE TO MEDICAL IMAGING." Thesis, The University of Arizona, 1986. http://hdl.handle.net/10150/276937.

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7

Tang, Mei-yee. "Medical imaging : applications of functional magnetic resonance imaging and the development of a magnetic resonance compatible ultrasound system /." View the Table of Contents & Abstract, 2006. http://sunzi.lib.hku.hk/hkuto/record/B36749710.

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8

McRobbie, Donald William. "Quantitative assessment of magnetic resonance imaging systems." Thesis, Imperial College London, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.312949.

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9

Meakin, James A. "Velocity selective preparations in Magnetic Resonance Imaging." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:a4247c64-d113-42e6-beee-5795e78a4cdc.

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Arterial Spin Labeling (ASL) is a Magnetic Resonance Imaging (MRI) technique that is able to non-invasively quantify the rate of delivery of arterial blood to tissue, known as perfusion. In this thesis a method that uses Velocity Selective (VS) preparations to generate contrast between blood and tissue spins is investigated. The systematic errors associated with performing a VSASL experiment on imperfect hardware is first investigated. It is shown through simulations and experiments that some VS preparations will underestimate perfusion due to static and transmit magnetic field errors, and that eddy currents caused by switching of magnetic gradients lead to an overestimation of perfusion with VSASL by up to a factor 2. A novel VS preparation, BIR-8, is presented which is shown to be the most robust to these imperfections. The BIR-8 VSASL technique is then applied in brain tumours where it is found that significant VSASL signal can be detected in less than 5 minutes. However, in a comparison with a spatially selective ASL technique it is found that VSASL overestimates perfusion in these tumours, despite agreeing in Grey Matter. The systematic errors due to physiology are then modelled, and it is shown that both diffusion and bulk motion will systematically bias the VSASL measurement. A diffusion insensitive VSASL technique, VS-TILT, is then developed and it is found that a significant proportion of the VSASL signal originates from diffusion effects. Theoretical models for the shape of the bolus in vascular networks are also derived, and it is shown that an isotropic network of laminar vessels produces the most efficient saturation, but saturation is also achieved with plug flow. The diffusion insensitive VS preparation is then applied in an attempt to isolate the venous compartment in order to measure Oxygen Extraction Fraction. A kinetic model is derived in order to optimise the acquisition. However, it is found that accurate measurements of OEF would not be produced by this sequence in a clinically realistic time.

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10

Grey, Michael L. "Medical imaging field of magnetic resonance imaging : identification of specialties within the field /." Available to subscribers only, 2009. http://proquest.umi.com/pqdweb?did=1968777471&sid=3&Fmt=2&clientId=1509&RQT=309&VName=PQD.

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11

Grey, Michael L. "Medical Imaging Field of Magnetic Resonance Imaging: Identification of Specialities Within the Field." OpenSIUC, 2009. https://opensiuc.lib.siu.edu/dissertations/70.

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This study was conducted to determine if specialty areas are emerging in the magnetic resonance imaging (MRI) profession due to advancements made in the medical sciences, imaging technology, and clinical applications used in MRI that would require new developments in education/training programs and national registry examinations. In this exploratory study, statistical analysis incorporated the use of factor analysis and chi square. Factor analysis was used to group tasks performed by MRI technologists into factors to better identify emerging specialty areas within the MRI profession. Chi square was used to analyze the association between the tasks performed in (a) the employment setting, and (b) hospital size. Factor analysis identified four meaningful factors. The four named factors were: (a) Routine Imaging non-Central Nervous System Imaging; (b) Advanced Imaging; (c) Routine Imaging with Central Nervous System Imaging; and (d) Musculoskeletal and Spine Imaging. From the four named factors, three emerging specialty areas were identified: (a) central nervous system imaging; (b) vascular/cardiovascular imaging; and (c) musculoskeletal imaging. Chi square analysis identified 47 of the 78 tasks as being significant when finding an association between the employment setting and the frequency of tasks performed. Cramer's V was used to measure the strength of their association. The more complicated the procedure the more likely this procedure is performed in either a university or private hospital. Further, chi square analysis identified 42 of the 78 tasks as being significant when finding the association between the hospital size and the frequency of tasks performed. Gamma was used to measure the strength of their association. This means the larger the hospital, the more frequent the tasks were performed.

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12

Rich, Adam V. "Bayesian Models for Practical Flow Imaging Using Phase Contrast Magnetic Resonance Imaging." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1490987092511083.

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13

Greer, Mason. "Portable and Autonomous Magnetic Resonance." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1586359944642158.

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14

Francis, S. T. "Magnetic Resonance Imaging of perfusion : techniques and applications." Thesis, University of Nottingham, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.243771.

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15

Utting, Jane Francis. "Magnetic resonance imaging of tissue microcirculation in experimental studies." Thesis, University College London (University of London), 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.272348.

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16

Taylor, Nicola Jane. "Applications of projections to quantitative magnetic resonance imaging." Thesis, Institute of Cancer Research (University Of London), 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.300557.

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17

Middleton, Ian. "Segmentation of magnetic resonance images using artificial neural networks." Thesis, University of Southampton, 1998. https://eprints.soton.ac.uk/256267/.

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18

Norén, Bengt. "Non-Invasive Assessment of Liver Fibrosis with 31P-Magnetic Resonance Spectroscopy and Dynamic Contrast Enhanced Magnetic Resonance Imaging." Doctoral thesis, Linköpings universitet, Medicinsk radiologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-90154.

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The present study aims at demonstrating phosphorus metabolite concentration changes and alterations in uptake/excretion of a hepatocyte specific contrast agent in patients with diffuse - or suspected diffuse - liver disease by applying two non-invasive quantitative MR techniques and to compare the results with histo-pathological findings, with focus on liver fibrosis. In the first study phosphorus-31 MR spectroscopy using slice selection (DRESS) was implemented. Patients with histopathologically proven diffuse liver disease (n = 9) and healthy individuals (n = 12) were examined. The patients had significantly lower concentrations of phosphodiesters (PDE) and ATP compared with controls. Constructing an ‘anabolic charge’ (AC) based on absolute concentrations, [PME] / ([PME] + [PDE]), the patients had a significant larger AC than the control subjects. The MRS technique was then, in a second study, applied on two distinct groups of patients, one group with steatosis and none-to-moderate inflammation (n = 13) and one group with severe fibrosis or cirrhosis (n = 16). A control group (n = 13) was also included. Lower concentrations of PDE and a higher AC were found in the cirrhosis group compared to the control group. Also compared to the steatosis group, the cirrhosis group had lower concentrations of PDE and a higher AC. A significant correlation between fibrosis stage and PDE and fibrosis stage and AC was found. Using an AC cut-off value of 0.27 to discriminate between mild (stage 0-2) and advanced (stage 3-4) fibrosis yielded an AUROC value of 0.78, similar as for discriminating between F0-1 vs. F2-4. Dynamic contrast enhanced MRI (DCE-MRI) was performed prospectively in a third study on 38 patients referred for evaluation of elevated serum alanine aminotransferase (ALT) and/or alkaline phosphatase (ALP) levels. Data were acquired from regions of interest in the liver and spleen by using single-breath-hold symmetrically sampled two-point Dixon 3D images time-series (non-enhanced, arterial and venous portal phase; 3, 10, 20 and 30 min) following a bolus injection of Gd-EOB-DTPA (0.025 mmol/kg). A new quantification procedure for calculation of the ‘hepatocyte specific uptake rate’, KHep, was applied on a two-compartment pharmacokinetic model. Liver-to-spleen contrast ratios (LSC_N) were also calculated. AUROC values of 0.71, 0.80 and 0.78, respectively, were found for KHep, LSC_N10 and LSC_N20 with regard to severe versus mild fibrosis. Significant group differences were found for KHep (borderline), LSC_N10 and LSC_N20. In study four no significant correlation between visual assessments of bile ducts excretion of Gd-EOB-DTPA and histo-pathological grading of fibrosis or the quantified uptake of Gd-EOB-DTPA defined as KHep and LSC_N. In conclusion 31P-MRS and DCE-MRI show promising results for achieving a non-invasive approach in discriminating different levels of fibrosis from each other.

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19

Thomas, David H. "Acoustic investigation of microbubble response to medical imaging ultrasound pulses." Thesis, University of Edinburgh, 2010. http://hdl.handle.net/1842/4516.

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Ultrasound contrast agents have the ability to provide locally increased echogenicity, improving the sensitivity and specificity of images. Due to the unique interaction of microbubbles with the imaging ultrasound field, contrast ultrasonography offers both improved diagnostic techniques, and the potential therapeutic uses of gene and drug delivery through the use of targeted agents. By enhancing the contrast at the tissue-blood interface, an improved image of the structure of organs can be achieved, which is useful in many areas of medical ultrasound imaging. Monitoring the flow of contrast agent in the blood stream also offers information on the degree of blood perfusion into an organ or microvasculature. Present knowledge of the interaction of microbubbles with ultrasound is far from complete. The full potential of contrast agents in improving diagnostic and therapeutic techniques has therefore not yet been achieved. The nonlinear and dynamic properties of microbubble response offer potentially large improvements in contrast to tissue ratio, through intelligent pulse sequence design and/or improved signal processing. Due to various drawbacks of populations studies, only by studying the response from single microbubbles can the interaction be fully understood. The variations of microbubble size and shell parameters within a typical sample of contrast agent dictate that a large number of single scatterer data are necessary to obtain information on the variability of microbubble response, which is not possible with current optical systems. This thesis aims to be a contribution to the understanding of contrast behaviour in response to medical imaging ultrasound pulses. A fully characterized microacoustic system, employing a wide-band piezoelectric transducer from a commercial ultrasound imaging system, is introduced, which enables the measurement of single scattering events. Single microbubble signals from two commercially available contrast agents, Definity R and biSphereTM, have been measured experimentally in response to a range of clinically relevant imaging parameters. The data has been analyzed, together with the results from appropriate theoretical models, in order to gain physical insight into the evolution and dynamics of microbubble signals. A theoretical model for the lipid shelled agent Definity has been developed, and the predicted response from a real sample of single microbubbles investigated. Various characteristics of resonant scatter have been identified, and used to distinguish resonant scatter in experimental acoustic single bubble data for the first time. A clear distinction between the populations of resonant and off-resonant scatter has been observed for a range of incident frequencies and acoustic pressures. Results from consecutive imaging pulses have been used to gain understanding of how initial size, shell material and encapsulated gas may effect the lifetime of a microbubble signal. The response to a basic pulse sequence is also investigated, and an alternative processing method which takes advantage of observed behaviour is presented. Improved understanding of the contrast-ultrasound interaction will provide the basis for improved signal processing tools for contrast enhanced imaging, with potential benefits to both diagnostic techniques and microbubble manufacture.

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20

Tang, Mei-yee, and 鄧美宜. "Medical imaging: applications of functional magnetic resonance imaging and the development of a magnetic resonancecompatible ultrasound system." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B37897688.

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21

Aldokhail, Abdullah M. "Automated Signal to Noise Ratio Analysis for Magnetic Resonance Imaging Using a Noise Distribution Model." University of Toledo Health Science Campus / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=mco1469557255.

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22

Baras, Panagiotis. "A study of field cycling on a low field magnetic resonance imager." Thesis, University of Aberdeen, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262917.

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Field Cycled Magnetic Resonance Imaging offers potential for significant Signal to Noise Ratio and T₁ contrast improvements of Magnetic Resonance images. In this work the hardware and software components of a home made, low field NMR imager were modified, in order to investigate Field Cycling. Theoretical models were developed to simulate NMR signal response to different magnetic field pulse shapes and it was seen that trapezoidal magnetic field pulse waveforms, with rise/fall times considerably smaller than the T₁ relaxation times of the examined samples, give comparable results to those of an ideal, rectangular pulse. The steady state signal expressions of Field Cycled Gradient Echo and Spin Echo sequences were derived and tested experimentally. Differences between theoretical and experimental results can be attributed to the increased levels of noise and the effect of time dependent magnetic fields due to limited efficiency of the induced current cancelling scheme. The ability of the imager to measure T₁ relaxation times at different magnetic field strengths, employing Field Cycled imaging sequences, was also assessed. Results were again burdened by the above mentioned problems, as well as, by the considerable temperature changes the samples suffered during the long imaging times required for complete study.

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23

Dussauge, Isabelle. "Technomedical Visions : Magnetic Resonance Imaging in 1980s Sweden." Doctoral thesis, Stockholm : Filosofi och teknikhistoria, Philosophy and the History of Technology, Kungliga Teknsika högskolan, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4671.

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24

Boucneau, Tanguy. "Magnetic resonance imaging of respiratory mechanics." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS165.

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La fonction respiratoire chez l'homme est indissociable du mouvement de déformation du poumon : les échanges gazeux entre l'organisme et son environnement sont rendus possibles, lors de l'inspiration, par le gonflement des alvéoles du parenchyme pulmonaire, et lors de l'expiration, par un retour passif à l'état d'équilibre statique du poumon. Les propriétés viscoélastiques des tissus pulmonaires jouent un rôle clé dans la fonction même de cet organe. Ces éléments de la mécanique respiratoire pourraient être des biomarqueurs très sensibles de l'état physiopathologique du poumon puisqu'ils dépendent de la structure des tissus et des conditions biologiques qui sont considérablement altérées par la plupart des maladies pulmonaires comme le cancer, l'emphysème, l'asthme ou la fibrose interstitielle. L'imagerie par résonance magnétique permet aujourd'hui, de manière non-invasive, l'obtention d'images anatomiques tridimensionnelles permettant, grâce aux résolutions spatiales et temporelles accessibles ainsi qu'aux contrastes riches observés au sein des tissus mous, la mesure de l'état de déformation d'un organe à un instant donné. Par ailleurs, par l'application de gradients d'encodage du mouvement, l'élastographie par résonance magnétique permet de suivre, sur la phase du signal de résonance magnétique, la réponse des organes à une contrainte mécanique externe afin de révéler leurs propriétés viscoélastiques, ce qui permet d'envisager l'exploration quantitative et spatialement résolue d'organes profonds que la main du médecin ne peut atteindre. Dans le poumon, l'IRM conventionnelle est cependant relativement inadaptée : la faible densité tissulaire, les grandes différences de susceptibilité magnétique à l'interface entre le gaz et le tissu et, corrélativement, les très faibles durées de vie du signal de résonance magnétique, conduisent à des rapports signal-à-bruit difficilement exploitables. De plus, les durées des acquisitions IRM tridimensionnelles sont généralement supérieures à la période du mouvement respiratoire, ce qui nécessite de prendre en considération ce mouvement au sein du processus d'imagerie. Ce projet de thèse, réalisé en collaboration avec GE Healthcare, vise à contourner les limitations citées précédemment en s'appuyant sur des techniques d'acquisition à temps d'écho sub-milliseconde de type UTE et ZTE, associées à des approches originales et innovantes de suivi intrinsèque des mouvements physiologiques ainsi qu'à des techniques de reconstruction d'images quadridimensionnelles tenant compte à la fois du mouvement respiratoire, de la redondance de l'information entre les différents canaux d'acquisition de données et de la parcimonie des images reconstruites à travers certaines représentations mathématiques. L'objectif ultime du projet est le développement et la validation de techniques d'exploration fonctionnelle respiratoire locales et quantitatives, mais aussi d'élastographie dynamique du poumon par résonance magnétique, afin d'extraire les paramètres ventilatoires et les modules viscoélastiques de cisaillement locaux du poumon au cours du cycle respiratoire
The respiratory function in human cannot be separated from the deformation motion of the lung: the gas exchanges between the organism and its environment are made possible, during the inspiration, by the swelling of the alveoli in the pulmonary parenchyma, and during the expiration, by a passive return to the static equilibrium state of the lung. The viscoelastic properties of lung tissue play a key role in the function of this organ. These elements of respiratory mechanics may prove to be very sensitive biomarkers of the pathophysiological state of the lung since they depend on the structure of tissues and biological conditions that are considerably altered by most pulmonary diseases such as cancer, emphysema, asthma or interstitial fibrosis. Magnetic resonance imaging enables non-invasive measurement of three-dimensional anatomical images that allow, thanks to the accessible spatial and temporal resolutions as well as the rich contrasts observed in the soft tissues, the measurement of the deformation state of an organ at a given moment. Moreover, by applying motion encoding gradients, magnetic resonance elastography gives the possibility to follow, onto to the magnetic resonance phase signal, the mechanical strain response of organs to an external mechanical stress in order to reveal their viscoelastic properties, which makes possible a quantitative and spatially-resolved exploration of deep organs that are nor reachable by the medical doctor's hand. In the lung, conventional MRI is, however, relatively difficult: the low tissue density, the large differences in magnetic susceptibility at the interface between gas and tissue and, correlatively, the very short lifetimes of the magnetic resonance signal, lead to signal-to-noise ratios that are difficult to exploit. In addition, the durations of three-dimensional MRI scans are generally longer than the period of the respiratory motion, which requires consideration of this motion within the imaging process. This PhD project, carried out in collaboration with GE Healthcare, aims at circumventing the limitations mentioned above by using UTE and ZTE sub-millisecond echo-time acquisition techniques, combined with original and innovative approaches of intrinsic physiological motions monitoring as well as four-dimensional image reconstruction techniques taking into account the respiratory motion, the redundancy of information between the different data acquisition channels and the sparsity of the reconstructed images through some mathematical representations. The ultimate goal of this project is the development and the validation of local and quantitative techniques to explore the respiratory function, as well as dynamic magnetic resonance lung elastography, in order to extract local ventilation parameters and viscoelastic shear moduli in the lung during the breathing cycle

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25

Soliman, Ahmed Talaat Elsayed. "Hidden Markov Models Based Segmentation of Brain Magnetic Resonance Imaging." Scholarly Repository, 2007. http://scholarlyrepository.miami.edu/oa_theses/80.

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Two brain segmentation approaches based on Hidden Markov Models are proposed. The first approach aims to segment normal brain 3D multi-channel MR images into three tissues WM, GM, and CSF. Linear Discriminant Analysis, LDA, is applied to separate voxels belonging to different tissues as well as to reduce their features vector size. The second approach aims to detect MS lesions in Brain 3D multi-channel MR images and to label WM, GM, and CSF tissues. Preprocessing is applied in both approaches to reduce the noise level and to address sudden intensity and global intensity correction. The proposed techniques are tested using 3D images from Montereal BrainWeb data set. In the first approach, the results were numerically assessed and compared to results reported using techniques based on single channel data and applied to the same data sets. The results obtained using the multi channel HMM-based algorithm were better than the results reported for single channel data in terms of an objective measure of overlap, Dice coefficient, compared to other methods. In the second approach, the segmentation accuracy is measured using Dice coefficient and total lesions load percentage

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26

Björnfot, Cecilia. "Multiband functional magnetic resonance imaging (fMRI) for functional connectivity assessments." Thesis, Umeå universitet, Institutionen för fysik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-149906.

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During resting state the brain exhibits synchronized activity within all major brain networks. Using blood oxygen level dependent (BOLD) resting state functional magnetic resonance imaging (fMRI) based detection it is possible to quantify the degree of correlation, connectivity, between regions of interest and assess information regarding the integrity of the inter-regional functional integration. A newly available multiband echo planar imaging (EPI) fMRI sequence allows for faster scan times which possibly allows us to better examine large-scale networks and increase the understanding of brain function/dysfunction. This thesis will assess how the newly developed sequence compares to a conventional EPI sequence for detecting resting state connectivity of canonical brain networks. The data acquisitions were made on a 3 Tesla scanner using a 32 channel head coil. The hypothesis was that the multiband sequence would produce a better result since it has faster sampling rate, thus more data points in its time-series to support the statistical analyses. Using Pearson’s linear correlation between the average time-series (approximately 12 minutes long) within a seed-region and all voxels contained in the image volume, correlation maps where created for each of the eight participants using data normalized to Montreal Neurological Institute (MNI) space. The resting state networks (RSN) were then found by performing a one sample T-test on group level. Six seed-coordinates, based on literature, where used revealing the the homotopic connections in anterior Hippocampus, Motor cortex, Dorsal attention, Visual and the Default mode network (DMN) as well for an anterior-posterior connection in the DMN. By comparing the maximum T-values within the regions for the RSN no systematic diﬀerence could be found between the multiband and conventional fMRI data. Further tests were conducted to evaluate if the sequences would diﬀerentiate in their results if the acquisition time was shortened, i.e shortening the time-series in the voxels. However no such diﬀerence could be established.Importantly, the results are speciﬁc to the 32 channel head coil used in the current study. Presumably recently available and improved coil designs could better exploit the multiband technique.

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27

Clark, Christopher Alan. "Magnetic resonance techniques for measurement of water diffusion in the human central nervous system." Thesis, University College London (University of London), 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.286293.

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28

Price, Ryan Glen. "Toward magnetic resonance only treatment planning| Distortion mitigation and image-guided radiation therapy validation." Thesis, Wayne State University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10153444.

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While MR-only treatment planning has shown promise, there are still several well-known challenges that are currently limiting widespread clinical implementation. Firstly, MR images are affected by both patient-induced and system-level geometric distortions that can significantly degrade treatment planning accuracy. In addition, the availability of comprehensive distortion analysis software is currently limited. Also while many groups have been working toward a synthetic CT solution, further study is needed on the implementation of synCTs as the reference datasets for linac-based image-guided radiation therapy (IGRT) to help determine their robustness in an MR-only workflow.

To determine candidate materials for phantom and software development, 1.0 T MR and CT images were acquired of twelve urethane foam samples of various densities and strengths. Samples were precision machined to accommodate 6 mm diameter paintballs used as landmarks. Final material candidates were selected by balancing strength, machinability, weight, and cost. Bore sizes and minimum aperture width resulting from couch position were tabulated from the literature. Bore geometry and couch position were simulated using MATLAB to generate machine-specific models to optimize the phantom build. Previously developed software for distortion characterization was modified for several magnet geometries, compared against previously published 1.0 T results, and integrated into the 3DSlicer application platform.

To evaluate the performance of synthetic CTs in an image guided workflow, magnetic resonance simulation and CT simulation images were acquired of an anthropomorphic skull phantom and 12 patient brain cancer cases. SynCTs were generated using fluid attenuation inversion recovery, ultrashort echo time, and Dixon data sets through a voxel-based weighted summation of 5 tissue classifications. The DRRs were generated from the phantom synCT, and geometric fidelity was assessed relative to CT-generated DRRs through bounding box and landmark analysis. An offline retrospective analysis was conducted to register cone beam CTs to synCTs and CTs using automated rigid registration in the treatment planning system. Planar MV and KV images were rigidly registered to synCT and CT DRRs using an in-house script. Planar and volumetric registration reproducibility was assessed and margin differences were characterized by the van Herk formalism.

Over the sampled FOV, non-negligible residual gradient distortions existed as close as 9.5 cm from isocenter, with a maximum distortion of 7.4mm as close as 23 cm from isocenter. Over 6 months, average gradient distortions were -0.07±1.10 mm and 0.10±1.10 mm in the x and y-directions for the transverse plane, 0.03±0.64 and -0.09±0.70 mm in the sagittal plane, and 0.4±1.16 and 0.04±0.40 mm in the coronal plane. After implementing 3D correction maps, distortions were reduced to < 1 pixel width (1mm) for all voxels up to 25 cm from magnet isocenter.

Bounding box and landmark analysis of phantom synCT DRRs were within 1 mm of CT DRRs. Absolute planar registration shift differences ranged from 0.0 to 0.7 mm for phantom DRRs on all treatment platforms and from 0.0 to 0.4 mm for volumetric registrations. For patient planar registrations, the mean shift differences were 0.4±0.5 mm, 0.0±0.5 mm, and 0.1±0.3 mm for the superior-inferior (S-I), left-right (L-R), and anterior-posterior (A-P) axes, respectively. The mean shift differences in volumetric registrations were 0.6±0.4 mm (range, 0.2 to 1.6 mm), 0.2±0.4 mm, and 0.2±0.3 mm for the S-I, L-R, and A-P axes, respectively. The CT-SIM and synCT derived margins were <0.3mm different.

This work has characterized the inaccuracies related to GNL distortion for a previously uncharacterized MR-SIM system at large FOVs, and established that while distortions are still non-negligible after current vendor corrections are applied, simple post-processing methods can be used to further reduce these distortions to less than 1mm for the entire field of view. Additionally, it was important to not only establish effective corrections, but to establish the previously uncharacterized temporal stability of these corrections. This work also developed methods to improve the accessibility of these distortion characterizations and corrections. We first tested the application of a more readily available 2D phantom as a surrogate for 3D distortion characterization by stepping the table with an integrated batch script file. Later we developed and constructed a large modular distortion phantom using easily obtainable materials, and showed and constructed a large modular distortion phantom using easily obtainable materials, and used it to characterize the distortion on several widely available MR systems. To accompany this phantom, open source software was also developed for easy characterization of system-dependent distortions. Finally, while the dosimetric equivalence of synCT with CT has been well established, it was necessary to characterize any differences that may exist between synCT and CT in an IGRT setting. This work has helped to establish the geometric equivalence of these two modalities, with some caveats that have been discussed at length. (Abstract shortened by ProQuest.)

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29

Mehndiratta, Amit. "Quantitative measurements of cerebral hemodynamics using magnetic resonance imaging." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:b9dfb1a4-f297-47b9-a95f-b60750065008.

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Cerebral ischemia is a vascular disorder that is characterized by the reduction of blood supply to the brain, resulting in impaired metabolism and finally death of brain cells. Cerebral ischemia is a major clinical problem associated with global morbidity and mortality rates of about 30%. Clinical management of cerebral ischemia relies heavily on perfusion analysis using dynamic susceptibility contrast MRI (DSC-MRI). DSC-MRI analysis is performed using mathematical models that simulate the underlying vascular physiology of brain. Cerebral perfusion is calculated using perfusion imaging and is used as a marker of tissue health status; low perfusion being an indicator of impaired tissue metabolism. In addition to measurement of cerebral perfusion, it is possible to quantify the blood flow variation within the capillary network referred to as cerebral microvascular hemodynamics. It has been hypothesized that microvascular hemodynamics are closely associated with tissue oxygenation and that hemodynamics might undergo a considerable amount of variation to maintain normal tissue metabolism under conditions of ischemic stress. However with DSC-MRI perfusion imaging, quantification of cerebral hemodynamics still remains a big challenge. Singular Value Decomposition (SVD) is currently a standard methodology for estimation of cerebral perfusion with DSC-MRI in both research and clinical settings. It is a robust technique for quantification of cerebral perfusion, however, the quantification of hemodynamic information cannot be achieved with SVD methods because of the non-physiological behaviour of SVD in microvascular hemodynamic estimation. SVD is sensitive to the noise in the MR signal which appears in the calculated microvascular hemodynamics, thus making it difficult to interpret for pathophysiological significance. Other methods, including model-based approaches or methods based on likelihood estimation, stochastic modeling and Gaussian processes, have been proposed. However, none of these have become established as a means to study tissue hemodynamics in perfusion imaging. Possibly because of the associated constrains in these methodologies that limited their sensitivity to hemodynamic variation in vivo. The objective of the research presented in this thesis is to develop and to evaluate a method to perform a quantitative estimation of cerebral hemodynamics using DSC-MRI. A new Control Point Interpolation (CPI) method has been developed to perform a non-parametric analysis for DSC-MRI. The CPI method was found to be more accurate in estimation of cerebral perfusion than the alternative methods. Capillary hemodynamics were calculated by estimating the transit time distribution of the tissue capillary network using the CPI method. The variations in transit time distribution showed quantitative differences between normal tissue and tissue under ischemic stress. The method has been corrected for the effects of macrovascular bolus dispersion and tested over a larger clinical cohort of patients with atherosclerosis. CPI method is thus a promising method for quantifying cerebral hemodynamics using perfusion imaging. CPI method is an attempt to evaluate the use of quantitative hemodynamic information in diagnostic and prognostic monitoring of patients with ischemia and vascular diseases.

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30

Hamid, Darja. "Cardiac function and structure in patients with diabetes examined with cardiovascular magnetic resonance imaging." Thesis, Örebro universitet, Institutionen för hälsovetenskaper, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-83438.

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31

Chen, Way Cherng. "Magnetic susceptibility-based white matter magnetic resonance imaging techniques." Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:7272b7e6-1fb9-4a1b-a71f-2ce5dfe93fde.

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Gradient echo (GRE) imaging, a magnetic resonance imaging (MRI) technique that is sensitive to changes in the magnetic susceptibility property of tissues, has recently revealed significant signal heterogeneity in white matter (WM) at high magnetic field B0 ≥ 3T. Various aspects of the underlying white matter microstructure have been linked to the observed contrast between white matter regions. This thesis investigates the origins of the observed differences in GRE signal behaviour. We proposed an explicit multi-compartmental model of WM that incorporates realistic representation of the geometry and magnetic susceptibility of the underlying microstructure that can be used to study the effects of WM microstructural changes on GRE signal characteristics. In particular, we looked at the apparent transverse relaxation rate (R2*) and the resonance frequency, as well as their respective deviations from mono-exponential decay and linear phase evolution. Next, we investigated the effect of WM fiber orientation on GRE signal using healthy human volunteers at 3T by correlating the GRE signal from different WM regions with WM fiber orientation information. Using literature-based parameters, we demonstrated that the geometric model predicted similar trends. Lastly, we studied the effect of myelin on GRE signal using a cuprizone mouse model at 7T . An ex vivo study was used to correlate GRE signal in fixed mouse brain with normalized myelin stain intensity. Simulated GRE signal from hypothetical scenarios of demyelination were then compared with the experimental results. R2* and resonance frequency were then used in an in vivo longitudinal study to track myelin changes during demyelination and subsequent remyelination.

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32

Hogan, Patrick Gerard. "Design and synthesis of paramagnetic contrast agents : applications to magnetic resonance imaging." Thesis, University of Cambridge, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.304448.

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33

Barron, Nicholas Henry. "An Analysis of an Advanced Software Business Model for Magnetic Resonance Imaging Data Post Processing." Case Western Reserve University School of Graduate Studies / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=case1459422647.

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34

Adjeiwaah, Mary. "Quality assurance for magnetic resonance imaging (MRI) in radiotherapy." Licentiate thesis, Umeå universitet, Institutionen för strålningsvetenskaper, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-142603.

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Magnetic resonance imaging (MRI) utilizes the magnetic properties of tissues to generate image-forming signals. MRI has exquisite soft-tissue contrast and since tumors are mainly soft-tissues, it offers improved delineation of the target volume and nearby organs at risk. The proposed Magnetic Resonance-only Radiotherapy (MR-only RT) work flow allows for the use of MRI as the sole imaging modality in the radiotherapy (RT) treatment planning of cancer. There are, however, issues with geometric distortions inherent with MR image acquisition processes. These distortions result from imperfections in the main magnetic field, nonlinear gradients, as well as field disturbances introduced by the imaged object. In this thesis, we quantified the effect of system related and patient-induced susceptibility geometric distortions on dose distributions for prostate as well as head and neck cancers. Methods to mitigate these distortions were also studied. In Study I, mean worst system related residual distortions of 3.19, 2.52 and 2.08 mm at bandwidths (BW) of 122, 244 and 488 Hz/pixel up to a radial distance of 25 cm from a 3T PET/MR scanner was measured with a large field of view (FoV) phantom. Subsequently, we estimated maximum shifts of 5.8, 2.9 and 1.5 mm due to patient-induced susceptibility distortions. VMAT-optimized treatment plans initially performed on distorted CT (dCT) images and recalculated on real CT datasets resulted in a dose difference of less than 0.5%. The magnetic susceptibility differences at tissue-metallic,-air and -bone interfaces result in local B0 magnetic field inhomogeneities. The distortion shifts caused by these field inhomogeneities can be reduced by shimming. Study II aimed to investigate the use of shimming to improve the homogeneity of local B0 magnetic field which will be beneficial for radiotherapy applications. A shimming simulation based on spherical harmonics modeling was developed. The spinal cord, an organ at risk is surrounded by bone and in close proximity to the lungs may have high susceptibility differences. In this region, mean pixel shifts caused by local B0 field inhomogeneities were reduced from 3.47±1.22 mm to 1.35±0.44 mm and 0.99±0.30 mm using first and second order shimming respectively. This was for a bandwidth of 122 Hz/pixel and an in-plane voxel size of 1×1 mm2. Also examined in Study II as in Study I was the dosimetric effect of geometric distortions on 21 Head and Neck cancer treatment plans. The dose difference in D50 at the PTV between distorted CT and real CT plans was less than 1.0%. In conclusion, the effect of MR geometric distortions on dose plans was small. Generally, we found patient-induced susceptibility distortions were larger compared with residual system distortions at all delineated structures except the external contour. This information will be relevant when setting margins for treatment volumes and organs at risk. The current practice of characterizing MR geometric distortions utilizing spatial accuracy phantoms alone may not be enough for an MR-only radiotherapy workflow. Therefore, measures to mitigate patient-induced susceptibility effects in clinical practice such as patient-specific correction algorithms are needed to complement existing distortion reduction methods such as high acquisition bandwidth and shimming.

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35

Sabisch, Theo. "Towards automatic registration of magnetic resonance images of the brain using neural networks." Thesis, University of Hertfordshire, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.245503.

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36

Snell, Rodney James 1965. "A digital-electronic video-rate reconstruction system for magnetic resonance imaging." Thesis, The University of Arizona, 1992. http://hdl.handle.net/10150/278071.

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A digital-electronic video-rate reconstruction system for Magnetic Resonance Imaging (MRI) has been designed to first order. The maturation of ultra-fast acquisition techniques in MRI has produced the need for a reconstruction system that will enable dynamic processes to be viewed on-line. Conventional reconstruction hardware is not configured for real-time reconstruction and previous developments are limited in accuracy and flexibility. The real-time reconstruction system presented here consists of three main subsystems. A digitizer interfaces with an MR scanner to digitize data matrices of resolutions up to 256 x 256 at arbitrary rates up to video rates. A Fourier processor performs either 2D Fourier transformation or projection filtering on the digitized data at video-rates. A backprojector performs the backprojection operation on filtered-projection data at video-rates. The complete system would be able to reconstruct data acquired from nearly any acquisition technique. True real-time MRI is then possible.

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37

Zheng, Jimmy. "Characterization of Iron Oxide Nanoparticle-Based Contrast Agent in Photoacoustic Imaging and Magnetic Resonance Imaging." Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-297596.

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Pancreatic ductal adenocarcinoma (PDAC) is one of the most difficult type of cancer to treat, due to late diagnosis which is a result of vague symptoms and lack of biomarkers, as well as refractory behavior toward current treatment protocols. Imaging of the disease progression therefore plays a crucial role in identifying potentially curable PDAC patients at an early stage. Nanoparticle-based contrast agents have shown multimodal capabilities and potential to enhance the contrast of previously undetectable pathological changes, including PDAC. In this master’s thesis study, an iron oxide nanoparticle (IONP) was evaluated as a potential multimodal contrast agent for both photoacoustic imaging (PAI) and magnetic resonance imaging (MRI). The investigated particle was composed of Fe3O4 with a hydrodynamic size of 418.5 nm and a zeta potential of -27.7 mV. In the agarose suspended IONP phantom studies, the IONP demonstrated a two-fold higher T2 contrast compared to commercial IONP VivoTrax (Magnetic Insight), as well as generating strong and stable photoacoustic signal throughout the first near-infrared window (700 to 1000 nm). Based on this thesis’ proof of concept study, Fe3O4 IONP showed good potential as multimodal contrast agent for MRI and PAI. Future work consists of modification of the particle composition and in vivo imaging on animals to evaluate the application in PDAC diagnostics.

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38

Hammond, Emily Marie. "Longitudinal medical imaging approaches for characterization of porcine cancer models." Diss., University of Iowa, 2017. https://ir.uiowa.edu/etd/5491.

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Cancer is the second deadliest disease in the United States with an estimated 1.69 million new cases in 2017. Medical imaging modalities, such as computed tomography (CT) and magnetic resonance imaging (MRI), are widely used in clinical medicine to detect, diagnose, plan treatment, and monitor tumors within the body. Advances in imaging research related to cancer assessment have largely relied on consented human patients, often including varied populations and treatments. Tumor bearing mouse models have been highly valued for basic science research, but imaging focused applications are limited by the translational ability of micro imaging systems. Pig models are well suited to bridge the gap between human cohorts and mouse models due to similar anatomy, physiology, life-span, and size between pigs and humans. These models provide the opportunity to advance medical imaging while simultaneously characterizing progressive changes resulting from an intervention, exposure, or genetic modification. We present a foundation for effectively characterizing disease models in pigs, susceptible to tumor development, using longitudinal medical image acquisition and post-processing techniques for quantification of disease. Longitudinal, whole-body protocols were developed with CT and MRI. Focus was placed on systematic process, including transportation, anesthesia and positioning, imaging, and environmental controls. Demonstration of the methodology was achieved with six pigs (30-85 kg) with four to seven imaging time points acquired per animal. Consistent positioning across time points (CT to CT) and within time points (CT to MRI) was assessed with distance measures obtained from the skeleton following rigid registration between images. Alignment across time points was achieved with an average value of 16.51 (± 12.46) mm observed all acquired measurements. For consistent, retrievable, and complete qualitative assessment of acquired images, structured reports were developed, including assessment of imaging quality and emphasis on tumor development throughout the body. Reports were used to perform a systematic, semi-qualitative comparison of CT and MRI lung assessment with an overall agreement of 72% in detection of disease indicators. A multi-level registration algorithm was developed to align anatomic structures of interest in the acquired longitudinal datasets. The algorithm consisted of initialization followed by repeated application of a core registration framework as the input data reduced in image field of view. It was applied to align regions of interest in the brain, upper right lung, and right kidney. Validation was performed with overlap (range = [0.0,1.0], complete overlap = 1) and distance measures (range = [0.0, ∞], perfect match = 0.0) of corresponding segmentations with overall results of 0.85 (± 0.11) and 0.41 (± 0.83) mm, respectively. An extension of the algorithm was created, demonstrating the ability to incorporate directional growth and feature extraction measurements into longitudinal tumor progression monitoring. Techniques were applied to a phantom dataset showing solid tumor growth and transition from a non-solid to part-solid lesion in the lungs. Finally, the developed methods – imaging, structured reporting, registration, and longitudinal feature extraction – were applied to four different porcine models pre-disposed to tumor development. 1) A genetically modified Li-Fraumeni (TP53R167H/+/TP53R167H/R167H) background model showing the development of osteosarcoma and lymphoma. 2) A TP53R167H/+ animal with exposure to crystalline silica showing progression of silicosis in the lungs. 3) TP53R167H/+/TP53R167H/R167H animals with exposure to radiation for targeted sarcoma development and 4) TP53R167H/+ pigs with conditional KRASG12D/+ mutation activated in the lung and pancreas. Whole-body and targeted imaging protocols were developed for each model and qualitatively interpreted by a radiologist using structured reports. Multi-level registration was used to align identified tumors and longitudinal features were extracted to quantitatively track change over time. Overall, the developed methods aided in the effective, non-invasive characterization of these animals.

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39

Oatridge, Angela. "The use of subvoxel registration and subtraction of serial magnetic resonance imaging for detecting small changes to the brain." Thesis, Leeds Beckett University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.288037.

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40

Levesque, Ives. "Quantitative magnetic resonance imaging of magnetization transfer and T2 relaxation in human white matter pathology." Thesis, McGill University, 2009. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=66751.

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The primary aim of this thesis is the reconciliation of two seemingly disparate quantitative magnetic resonance imaging (MRI) techniques proposed to characterize human brain white matter (WM) in health and disease. Quantitative magnetization transfer imaging (QMTI) and multi-component analysis of T2 relaxation (QT2) both attempt to quantify myelin content in vivo, but are based on fundamentally different models of WM. QMTI probes the macromolecular component of tissue using a two-pool model of magnetization transfer, while QT2 isolates the water signal from distinct micro-anatomical compartments. The specific objectives were to determine the interrelationship between measurements made with both techniques in the context of potential pathological changes associated with multiple sclerosis (MS), and to apply both to track WM changes in the acute phase of MS lesions. First, simulations were used to evaluate the theoretical sensitivity of each technique to the characteristics of a model of WM that incorporates four pools of magnetization, based on published in vitro measurements. Next, the experimental reproducibility of each technique was investigated, and the impact of certain basic variations in the data acquisition and analysis procedures was evaluated. In the final stage, both methods were applied longitudinally in vivo to assess the dynamic changes that occur in acute, contrast-enhancing lesions of MS. The theoretical results illustrate the sensitivity and limitations of QMTI and QT2 to specific pathology-inspired modifications of WM, and shed new light on the potential specificity of often-neglected QMTI parameters. The reproducibility of both techniques is acceptable for use in repeated clinical measurements, and QMTI has lower variability overall. The importance of corrections for magnetic field inhomogeneity in QMTI is demonstrated, and a simple optimization of the QMTI data acquisition is introduc
L'objectif principal de cette thèse est la réconciliation de deux techniques quantitatives d'imagerie par résonance magnétique, en apparence difféerentes, utilisées pour la caractérisation de la susbtance blanche du cerveau humain en santé ou affectée par la maladie. Les techniques d'imagerie quantitative par transfert de magnétisation (QTM) et d'analyse de la relaxation T2 par de multiples composantes (QT2) proposent toutes deux des mesures in vivo de la quantitée de myéline, mais à l'aide de modèles fondamentalement différents. D'un côté, l'imagerie QTM sonde la composante macro-moléculaire des tissues à l'aide d'un modèle à deux réservoirs pour le transfert de magnétisation. De l'autre, l'imagerie QT2 sépare les signaux acqueux provenant de compartiments micro-anatomiques distincts. Plus spécifiquement, cet ouvrage cherche à mieux comprendre l'interdépendance des mesures de ces deux techniques dans le contexte pathologique de la sclérose en plaques (SEP), pour ensuite les appliquer à l' étude de lésions aigues de SEP. En premier lieu, des simulations ont été effectuées pour évaluer la sensibilité de chaque technique aux caractéristiques d'un modèle plus complet de la substance blanche, qui découle de résultats in vitro publiés et incorpore quatre réservoirs de magnétisation. Ensuite, la reproductibilité de chacune des techniques a été évaluée; de plus, quelques variations élémentaires des méthodes d'acquisition et d'analyse des données examinées. En dernier lieu, les deux techniques ont été utilisées in vivo aﬁn de mesurer les changements dynamiques des lésions aigues de SEP, présentant un hyper-signal rehaussée par un agent de contraste. Les résultats des simulations démontrent d'un point de vue théorique la sensibilité et les limites de chacune de ces technique aux changements dans la substance blanche. Ces résultats apportent égalem

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41

Song, Xin. "Path reconstruction in diffusion tensor magnetic resonance imaging." Phd thesis, INSA de Lyon, 2011. http://tel.archives-ouvertes.fr/tel-00694403.

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The complicated underwater environment and the poor underwater vision make super-mini underwater cable robot hardly to be controlled. Traditionally, the manual control method by operators is adopted by this kind of robots. Unfortunately, the robots can hardly work normally in these practical circumstances. Therefore, to overcome these shortcomings and improve the abilities of these underwater cable robots, this paper proposes several improvements, including the system design, the motion controller design, three dimensional obstacle recognition and three dimensional path reconstruction technologies etc. The details are displayed as follow: (1) Super-mini underwater robot system design: several improvement schemes and important design ideas are investigated for the super-mini underwater robot.(2) Super-mini robot motion controller design: The motion controller design of underwater robot in complicated circumstance is investigated. A new adaptive neural network sliding mode controller with balanced parameter controller (ANNSMB) is proposed. Based on the theory of adaptive fuzzy sliding mode controller (AFSMC), an improved algorithm is also proposed and applied to the underwater robot. (3)Research of three dimensional underwater environment reconstructions: The algorithms and the experiments of underwater environment reconstructions are investigated. DT-MRI image processing algorithm and the theory of three dimensional obstacle reconstructions are adopted and improved for the application of the underwater robot. (4) The super-mini underwater robot path planning algorithms are investigated.

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42

Badachhape, Andrew A. "Characterization of Structural Dynamics of the Human Head Using Magnetic Resonance Elastography." Thesis, Washington University in St. Louis, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10687152.

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In traumatic brain injury (TBI), the skull-brain interface, composed of three meningeal layers: the dura mater, arachnoid mater, and pia mater, along with cerebrospinal fluid (CSF) between the layers, plays a vital role in transmitting motion from the skull to brain tissue. Magnetic resonance elastography (MRE) is a noninvasive imaging modality capable of providing in vivo estimates of tissue motion and material properties. The objective of this work is to augment human and phantom MRE studies to better characterize the mechanical contributions of the skull-brain interface to improve the parameterization and validation of computational models of TBI. Three specific aims were to: 1) relate 3D skull kinematics estimated from tri-axial accelerometers to brain tissue motion (rigid-body motion and deformation) estimated from MRE, 2) modify existing MRE data collection methods to capture simultaneous scalp and brain displacements, and 3) create cylindrical and cranial phantoms capable of simulating a CSF interface and dural membranes. Achievement of these aims has provided new quantitative understanding of the transmission of skull motion to the brain.

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43

Kihlberg, Johan. "Magnetic Resonance Imaging of Myocardial Deformation and Scarring in Coronary Artery Disease." Doctoral thesis, Linköpings universitet, Avdelningen för radiologiska vetenskaper, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-143028.

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Although improved treatments have reduced the rates of acute complications from myocardial infarction, sequelae such as heart failure and sudden death threaten the future wellbeing of those patients. Secondary prevention after myocardial infarction is related to cardiovascular risk factors and the effect of the infarct on left ventricular function. Cardiovascular magnetic resonance imaging (CMR) is necessary to determine the size of the infarct scar and can with great precision determine left ventricular volumes, left ventricular ejection fraction, and deformation (strain and torsion). The purpose of this thesis was to improve on CMR methods to facilitate image acquisition and post processing in patients with high risk of coronary artery disease (CAD). In Paper 1, a three-dimensional phase-sensitive inversion-recovery (3D PSIR) sequence was modified to measure T1 during a single breath hold. The measured T1 values were used to extrapolate a map of T1 relaxation, which avoided the time-consuming manual determination of the inversion time. The data collection consisted of phantom experiments, Monte Carlo simulations of the effect of various heart rates, and clinical investigation of 18 patients with myocardial infarction. Scar images created with the modified sequence were compared to those created with the standard sequence. The 3D PSIR sequence was able to measure T1 relaxation with a high accuracy up to 800 ms, which is in the suitable range for scar imaging. Simulated arrhythmias showed that the method was robust and able to tolerate some variation in heart rate. The modified sequence provides measurements of inversion time that can be used to facilitate standard scar imaging or to reconstruct synthetic scar images. Images of infarct scar obtained with the 3D PSIR sequence bore striking similarity to images obtained with the standard sequence. In Paper 2, 125 patients with high risk of CAD were investigated using the displacement encoding with stimulated echoes (DENSE) sequence. Image segments with infarct scar area >50% (transmurality) could be identified with a sensitivity of 95% and a specificity of 80% based on circumferential strain calculated from the DENSE measurements. The DENSE sequence was also applied in other directions, but its sensitivity and specificity to detect scar was lower than when used for circumferential strain. In Paper 3, 90 patients with high risk of CAD were examined by DENSE, tagging with harmonic phase (HARP) imaging and cine imaging with feature tracking (FT), to detect cardiac abnormalities as manifested in end-systolic circumferential strain. Circumferential strain calculated with DENSE had higher sensitivity and specificity than the competing methods to detect infarction with transmurality >50%. Global circumferential strain measured by DENSE correlated better with global parameters such as left ventricular ejection fraction, myocardial wall mass, left ventricular end-diastolic and end-systolic volume; than strain measured by FT or HARP. In Paper 4, myocardial torsion was investigated using DENSE, HARP, and FT in 48 patients with high risk of CAD. Torsion measured by each of the three methods was correlated with other global measures such as left ventricular ejection fraction, left ventricular mass, and left ventricular end-diastolic and end-systolic volumes. The torsion measurements obtained with DENSE had a stronger relationship with left ventricular ejection fraction, left ventricular mass, and volumes than those obtained with HARP or FT. DENSE was superior to the other methods for strain and torsion measurement and can be used to describe myocardial deformation quantitatively and objectively.

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44

Berman, Avery. "Development of a funtional magnetic resonance imaging simulator: deterministic simulation of the transverse magnetization in microvasulature." Thesis, McGill University, 2012. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=110687.

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Numerical simulations are invaluable in the development and understanding of magnetic resonance imaging (MRI) techniques. Motivated by the goal of understanding the behaviour of the functional MRI (fMRI) signal in brain tissue, this thesis employs a deterministic simulation technique in which the transverse magnetization and B0 inhomogeneity within a voxel are spatially discretized and the stochastic self-diffusion of water molecules is modelled as a Gaussian isotropic blurring of the transverse magnetization. While this simulation technique has existed since fMRI was in its infancy, its use has increased recently as investigators have attempted to quantitatively interpret the measured signal. Despite its recent popularity, thorough quantitative validation of the technique is lacking in the literature.With the development of quantitative fMRI techniques being the driving force, this thesis validates three-dimensional deterministic simulations of the MR signal with a focus on their application in cerebral microvasculature. Individual blood vessels are modelled by infinite cylinders with a realistic distribution of radii. Using a spin echo sequence, the effects of several simulation parameters are investigated.Validations ignoring the effect of diffusion show that the discretization of the voxel into subvoxels can be very coarse – up to 10 μm subvoxel widths – without adversely affecting the simulation outcomes. Simulations including diffusion are validated using an analytical solution to the Bloch-Torrey equation for comparison. In the presence of diffusion, subvoxel size is a key factor and it needs to be sufficiently small (~ 2 μm), depending on the rest of the simulation parameters, in order for the simulations to be accurate. Finally, as a proof-of-concept, it is shown that larger subvoxels can be used and still produce accurate simulations if the diffusion coefficient is scaled by a correction factor to produce the desired time series.
Les simulations numériques sont d'une valeur inestimable pour le développement et la compréhension des techniques d'imagerie par résonance magnétique (IRM). Cette thèse, motivée par le but de comprendre le comportement du signal de l'IRM fonctionnelle (IRMf) dans le tissu cérébral, utilise une technique de simulation déterministe dans laquelle la magnétisation transversale et l'inhomogénéité B0 au sein d'un voxel sont spatialement discrétisées et l'auto-diffusion stochastique des molécules d'eau est modélisée par un flou gaussien isotrope de la magnétisation transversale. Bien que cette technique de simulation existe depuis les débuts de l'IRMf, son utilisation a augmenté récemment par des chercheurs tentant d'interpréter quantitativement le signal mesuré. Malgré sa popularité récente, une validation quantitative approfondie de cette technique est absente de la littérature.Ayant pour force motrice le développement de techniques d'IRMf quantitatives, cette thèse valide des simulations tridimensionnelles déterministes du signal IRM en mettant l'emphase sur leur application dans la microvascularisation cérébrale. Les vaisseaux sanguins individuels sont modélisés par des cylindres infinis avec une distribution de rayons réaliste. Les effets de plusieurs paramètres de simulation sont étudiées en utilisant une séquence écho de spin.Des validations ignorant l'effet de diffusion montrent que la discrétisation des voxel en sous-voxels peut être très grossière - jusqu'à des tailles de sous-voxels de 10 μm - sans détériorer les résultats de la simulation. Des simulations tenant compte de la diffusion sont validées à l'aide d'une solution analytique à l'équation de Bloch-Torrey. En présence de diffusion, la taille des sous-voxels est un facteur clé et doit être petite (~ 2 μm, dépendamment des autres paramètres de simulation) pour que les simulations soient précises. Enfin, comme preuve de concept, il est démontré que des simulations précises peuvent être obtenues avec des sous-voxels plus grands pourvu que le coefficient de diffusion soit multiplié par un facteur de correction pour produire la série temporelle désirée.

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45

Gutierrez-Nibeyro, Santiago Daniel. "Outcomes of Medical Treatment for Pathologies of the Equine Foot Diagnosed with Magnetic Resonance Imaging." Thesis, Virginia Tech, 2008. http://hdl.handle.net/10919/34461.

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A retrospective study was performed to determine the prevalence of foot pathologies of horses subjected to magnetic resonance imaging for foot lameness and to determine the long-term outcome of horses after medical treatment. The MR studies of 95 horses were interpreted retrospectively by a boarded certified radiologist. Follow-up information was obtained from medical records, owners and referring veterinarians via telephone questionnaires. Long term response to treatment (minimum of 12 months) was recorded. Horses were divided in two different groups based on the diagnosis and on the treatment using intrasynovial antiinflammatory drugs or not. Logistic regression analysis was performed to compare the outcome between the two groups. The null hypothesis was that the proportion of horses treated successfully between treatment protocols was similar. A diagnosis based on magnetic resonance imaging was made in all horses. Approximately 30% of horses had â ¥ 4 lesions, which were determined to be responsible for the lameness and 70% of horses had navicular bone abnormalities. Treatment was determined by individual clinician judgment. No significant difference was found in the long-term outcome between treatment groups. This result suggests that intrasynovial antiinflammatory drugs may not provide additional benefit over corrective shoeing, rest followed by controlled exercise in horses with lesions of structures associated with the navicular apparatus or the distal interphalangeal joint.
Master of Science

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46

Ersoy, Mehmet. "A LEFT VENTRICULAR MOTION PHANTOM FOR CARDIAC MAGNETIC RESONANCE IMAGING." Cleveland State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=csu1306471866.

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47

Fonseca, Carissa Grace. "Assessment of left ventricular diastolic function with three dimensional cardiac magnetic resonance imaging." Thesis, University of Auckland, 2004. http://hdl.handle.net/2292/5715.

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Measurement of diastolic left ventricular (LV) function is vitally important in the assessment of cardiac disease. However, only limited information on tissue function can be obtained with current clinical techniques. This Thesis developed and investigated novel parameters of both global and regional myocardial function, using cardiac magnetic resonance imaging (MRI) with three-dimensional tissue tagging. Multidirectional peak myocardial shortening strains and strain rates, as well as the peak systolic displacement and velocity of the mitral valve annulus plane (MVP), were considered as parameters of LV systolic function. The corresponding peak diastolic strain relaxation rates and peak diastolic MVP velocity were used to assess diastolic function. The effects of normal ageing were studied in people with no evidence of cardiac disease, and compared with the effects of disease in patients with type 2 diabetes mellitus (DM). In normal healthy subjects, systolic strain parameters were preserved, while diastolic parameters were impaired, with age. DM patients showed impaired diastolic function on correction for age, and systolic functional parameters were also impaired, even though LV ejection fraction was normal. MVP systolic and diastolic motion were reduced both with age and in DM patients. Systolic LV torsion was increased with age and in DM, with no corresponding increase in torsional relaxation. Both systolic and diastolic function parameters were regionally heterogeneous. With normal ageing, diastolic function was impaired in a regionally non-uniform manner. Thus, a complete assessment of LV function requires measurement of LV tissue mechanics as well as chamber haemodynamics. MRI provides valuable information regarding myocardial tissue behaviour, contributing to systolic and/or diastolic dysfunction, which cannot be obtained otherwise. Systolic tissue dysfunction may develop concomitantly in patients with diastolic dysfunction, even when global ejection fraction is preserved. Regional analyses provide important information on how local changes contribute to global function. The influence of age must be taken into account in studies of disease.

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48

Curtis, James. "Whole Brain Isotropic Arterial Spin Labeling Magnetic Resonance Imaging in a transgenic mouse model of Alzheimer's Disease." Thesis, McGill University, 2009. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=32516.

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This thesis presents the design, implementation, and validation of a novel, arterial spin labeling (ASL) perfusion magnetic resonance imaging (MRI) pulse sequence to generate three-dimensional quantitative maps of cerebral blood flow (CBF) in mice at 7 Tesla with an isotropic 281μm resolution. ASL and anatomical scans were registered to a common template using an automated non-linear registration pipeline to allow for voxel-wise inter-scan and inter-subject comparisons of CBF. The technique was applied to the study of a transgenic mouse model of Alzheimer's Disease (AD) which demonstrates many of the characteristic features of cerebrovascular dysfunction present in AD. The technique resolved regions of significant difference between transgenic and wild-type mouse populations using voxel-wise- and region-of-interest-based analyses. These findings are the first to demonstrate the utility of perfusion MRI for population-based analysis of cerebrovascular pathophysiology in transgenic AD mice.
Cette thèse présente la conception et la validation d'un nouveau séquence d'acquisition d'imagerie par resonance magnetique (IRM) pour la marquage des spins des arteres (ASL) pour créer des cartes parametrique en trois-dimensions de debit de sanguin cérébral (CBF) dans les souris à 7 Tesla. avec un résolution isotrope de 281 μm. Les volumes d'IRM anatomique et ASL ont été enregistrées avec un procedure non linéaire pour effectuer des comparaisons de CBF par-voxel entre les scans seriale et entre les animaux. La technique a été appliquée à l'étude d'un modèle de souris transgénique de la maladie d'Alzheimer (MA), qui démontre beaucoup de traits caractéristiques de dysfonctionnement cérébral qui sont présents dans la maladie d'Alzheimer. La technique résolu régions de différence significative entre les populations transgéniques et de type sauvage par les methodes d'analyse par-voxel et par-regions-d'intérêt. Ces résultats sont les premiers à démontrer l'utilité de l'IRM de perfusion au niveau de la population sur l'analyse de physiopathologie vasculaire cérébral dans les souris transgéniques MA.

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49

Qin, Shanlin. "Fractional order models: Numerical simulation and application to medical imaging." Thesis, Queensland University of Technology, 2017. https://eprints.qut.edu.au/115108/1/115108_9066888_shanlin_qin_thesis.pdf.

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This thesis is primarily concerned with developing new models and numerical methods based on the fractional generalisation of the Bloch and Bloch-Torrey equations to account for anomalous MRI signal attenuation. The two main contributions of the research are to investigate the anomalous evolution of MRI signals via the fractionalised Bloch equations, and to develop new effective numerical methods with supporting analysis to solve the time-space fractional Bloch-Torrey equations.

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50

Nilsson, Erik. "Super-Resolution for Fast Multi-Contrast Magnetic Resonance Imaging." Thesis, Umeå universitet, Institutionen för fysik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-160808.

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There are many clinical situations where magnetic resonance imaging (MRI) is preferable over other imaging modalities, while the major disadvantage is the relatively long scan time. Due to limited resources, this means that not all patients can be offered an MRI scan, even though it could provide crucial information. It can even be deemed unsafe for a critically ill patient to undergo the examination. In MRI, there is a trade-off between resolution, signal-to-noise ratio (SNR) and the time spent gathering data. When time is of utmost importance, we seek other methods to increase the resolution while preserving SNR and imaging time. In this work, I have studied one of the most promising methods for this task. Namely, constructing super-resolution algorithms to learn the mapping from a low resolution image to a high resolution image using convolutional neural networks. More specifically, I constructed networks capable of transferring high frequency (HF) content, responsible for details in an image, from one kind of image to another. In this context, contrast or weight is used to describe what kind of image we look at. This work only explores the possibility of transferring HF content from T1-weighted images, which can be obtained quite quickly, to T2-weighted images, which would take much longer for similar quality. By doing so, the hope is to contribute to increased efficacy of MRI, and reduce the problems associated with the long scan times. At first, a relatively simple network was implemented to show that transferring HF content between contrasts is possible, as a proof of concept. Next, a much more complex network was proposed, to successfully increase the resolution of MR images better than the commonly used bicubic interpolation method. This is a conclusion drawn from a test where 12 participants were asked to rate the two methods (p=0.0016) Both visual comparisons and quality measures, such as PSNR and SSIM, indicate that the proposed network outperforms a similar network that only utilizes images of one contrast. This suggests that HF content was successfully transferred between images of different contrasts, which improves the reconstruction process. Thus, it could be argued that the proposed multi-contrast model could decrease scan time even further than what its single-contrast counterpart would. Hence, this way of performing multi-contrast super-resolution has the potential to increase the efficacy of MRI.

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