Relevant bibliographies by topics / Multi-parametric magnetic resonance imaging

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Multi-parametric magnetic resonance imaging'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 June 2024

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Multi-parametric magnetic resonance imaging.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Multi-parametric magnetic resonance imaging"

1

Hedley, Michelle. "Multi–parametric magnetic resonance imaging before prostate biopsy." Cancer Nursing Practice 16, no. 8 (2017): 21–25. http://dx.doi.org/10.7748/cnp.2017.e1417.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Omari, Eenas A., Ying Zhang, Ergun Ahunbay, et al. "Multi‐parametric magnetic resonance imaging for radiation treatment planning." Medical Physics 49, no. 4 (2022): 2836–45. http://dx.doi.org/10.1002/mp.15534.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Qi, Haikun, Gastao Cruz, René Botnar, and Claudia Prieto. "Synergistic multi-contrast cardiac magnetic resonance image reconstruction." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 379, no. 2200 (2021): 20200197. http://dx.doi.org/10.1098/rsta.2020.0197.

Full text
Abstract:
Cardiac magnetic resonance imaging (CMR) is an important tool for the non-invasive diagnosis of a variety of cardiovascular diseases. Parametric mapping with multi-contrast CMR is able to quantify tissue alterations in myocardial disease and promises to improve patient care. However, magnetic resonance imaging is an inherently slow imaging modality, resulting in long acquisition times for parametric mapping which acquires a series of cardiac images with different contrasts for signal fitting or dictionary matching. Furthermore, extra efforts to deal with respiratory and cardiac motion by triggering and gating further increase the scan time. Several techniques have been developed to speed up CMR acquisitions, which usually acquire less data than that required by the Nyquist–Shannon sampling theorem, followed by regularized reconstruction to mitigate undersampling artefacts. Recent advances in CMR parametric mapping speed up CMR by synergistically exploiting spatial–temporal and contrast redundancies. In this article, we will review the recent developments in multi-contrast CMR image reconstruction for parametric mapping with special focus on low-rank and model-based reconstructions. Deep learning-based multi-contrast reconstruction has recently been proposed in other magnetic resonance applications. These developments will be covered to introduce the general methodology. Current technical limitations and potential future directions are discussed. This article is part of the theme issue ‘Synergistic tomographic image reconstruction: part 1’.
APA, Harvard, Vancouver, ISO, and other styles
4

Johnson, David C., and Robert E. Reiter. "Multi-parametric magnetic resonance imaging as a management decision tool." Translational Andrology and Urology 6, no. 3 (2017): 472–82. http://dx.doi.org/10.21037/tau.2017.05.22.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Engström, Maria, Jan B. M. Warntjes, Anders Tisell, Anne-Marie Landtblom, and Peter Lundberg. "Multi-Parametric Representation of Voxel-Based Quantitative Magnetic Resonance Imaging." PLoS ONE 9, no. 11 (2014): e111688. http://dx.doi.org/10.1371/journal.pone.0111688.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Arumainavagam, N., H. U. Ahmed, C. Moore, et al. "156 MULTI-PARAMETRIC MAGNETIC RESONANCE IMAGING IN RADIO-RECURRENT PROSTATE CANCER." European Urology Supplements 9, no. 2 (2010): 81. http://dx.doi.org/10.1016/s1569-9056(10)60160-1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Blackledge, Matthew D., Mihaela Rata, Nina Tunariu, et al. "Visualizing whole-body treatment response heterogeneity using multi-parametric magnetic resonance imaging." Journal of Algorithms & Computational Technology 10, no. 4 (2016): 290–301. http://dx.doi.org/10.1177/1748301816668024.

Full text
Abstract:
A novel post-processing methodology able to assess whole-body tumor heterogeneity in patients with metastatic disease is proposed. The method is demonstrated on paired pre- and post-treatment data sets obtained from an initial cohort of six patients with metastatic disease from primary prostate or ovarian cancers. Whole-body diffusion-weighted imaging and T1-weighted contrast-enhanced imaging data were acquired covering the chest, abdomen, and pelvis. Joint histograms of Apparent Diffusion Coefficient and Fractional Enhancement values were calculated within volumes of interest and were modeled as a Gaussian mixture of two classes. Probability maps and volumetric estimates of the magnetic resonance data-derived classes providing visualization of pre- and post-treatment data are shown in three patient examples. This technique provided spatially heterogeneous characterization of regions following treatment as defined by the combined analysis of apparent diffusion coefficient and fractional enhancement. A new whole-body magnetic resonance data analysis has been demonstrated enabling visualization of intra-patient response heterogeneity in patients with metastatic cancer. Changes in the parameters of each subpopulation derived from this technique (apparent diffusion coefficient and fractional enhancement) reflect changes in the tissue properties of each subpopulation following treatment. Furthermore, the volume change of each population can be quantified. Such techniques may be essential for personalized anti-cancer therapy where there is a need to detect early drug-resistance and monitor heterogeneous response.
APA, Harvard, Vancouver, ISO, and other styles
8

Grenier, Renaud, Delphine Périé, Guillaume Gilbert, Gilles Beaudoin, and Daniel Curnier. "Assessment of Mechanical Properties of Muscles from Multi-Parametric Magnetic Resonance Imaging." Journal of Biomedical Science and Engineering 07, no. 08 (2014): 593–603. http://dx.doi.org/10.4236/jbise.2014.78060.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Bhat, Zubair, Arshad Bhat, Jayasimha Abbaraju, Mudassir Wani, Tahir Bhat, and Shameer Deen. "Active surveillance: transperineal biopsies and evaluation of multi-parametric magnetic resonance imaging." International Surgery Journal 6, no. 10 (2019): 3536. http://dx.doi.org/10.18203/2349-2902.isj20194405.

Full text
Abstract:
Background: Active surveillance has emerged as an acceptable choice for low-risk prostate cancer patients and is defined as a treatment strategy of close monitoring through PSA, digital rectal examination, imaging and prostate biopsy, with conversion to curative treatment if progression occurs. An ideal tool for risk-stratification would detect aggressive cancers and exclude such men from taking up active surveillance in the first place.Methods: We retrospectively reviewed patients who underwent transperineal template biopsies from January 2016 till December 2018. All the patients had been classified as low grade prostate cancer after conventional trans-rectal ultrasound guided biopsy and enrolled in AS after discussion in hospital MDM. As per NICE guidelines all patients underwent multi-parametric magnetic resonance imaging (MRI). All suspicious lesions were assigned a PIRAD score; this was followed by Trans-perineal prostate biopsy. 142 patients were on active surveillance and underwent mapping transperineal template biopsies and cognitive target biopsies. 130 of them had multi-parametric MRI prior to the biopsies.Results: In 52% of cases the histology was upgraded. In 34 (24%) the cancer was upgraded to Gleason 3+4 and 39 (28%) it was upgraded to scores higher than Gleason 3+4. Only 64 (45%) patients continued on active surveillance post-template biopsies due to significant upgrading of histology.Conclusions: We advocate combination of MRI and an early transperineal template guided prostatic biopsies for intermediate risk prostate cancer, multiple core involvement, higher PIRAD grades and suspicious prostate on digital rectal examination in order to re-stage the initial disease and provide better safety for this cohort of patients.
APA, Harvard, Vancouver, ISO, and other styles
10

Rabah, Danny, Waleed Al-Taweel, Farrukh Khan, et al. "Transperineal versus transrectal multi-parametric magnetic resonance imaging fusion targeted prostate biopsy." Saudi Medical Journal 42, no. 6 (2021): 649–54. http://dx.doi.org/10.15537/smj.2021.42.6.20200771.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Multi-parametric magnetic resonance imaging"

1

Li, Chao. "Characterising heterogeneity of glioblastoma using multi-parametric magnetic resonance imaging." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/287475.

Full text
Abstract:
A better understanding of tumour heterogeneity is central for accurate diagnosis, targeted therapy and personalised treatment of glioblastoma patients. This thesis aims to investigate whether pre-operative multi-parametric magnetic resonance imaging (MRI) can provide a useful tool for evaluating inter-tumoural and intra-tumoural heterogeneity of glioblastoma. For this purpose, we explored: 1) the utilities of habitat imaging in combining multi-parametric MRI for identifying invasive sub-regions (I & II); 2) the significance of integrating multi-parametric MRI, and extracting modality inter-dependence for patient stratification (III & IV); 3) the value of advanced physiological MRI and radiomics approach in predicting epigenetic phenotypes (V). The following observations were made: I. Using a joint histogram analysis method, habitats with different diffusivity patterns were identified. A non-enhancing sub-region with decreased isotropic diffusion and increased anisotropic diffusion was associated with progression-free survival (PFS, hazard ratio [HR] = 1.08, P < 0.001) and overall survival (OS, HR = 1.36, P < 0.001) in multivariate models. II. Using a thresholding method, two low perfusion compartments were identified, which displayed hypoxic and pro-inflammatory microenvironment. Higher lactate in the low perfusion compartment with restricted diffusion was associated with a worse survival (PFS: HR = 2.995, P = 0.047; OS: HR = 4.974, P = 0.005). III. Using an unsupervised multi-view feature selection and late integration method, two patient subgroups were identified, which demonstrated distinct OS (P = 0.007) and PFS (P < 0.001). Features selected by this approach showed significantly incremental prognostic value for 12-month OS (P = 0.049) and PFS (P = 0.022) than clinical factors. IV. Using a method of unsupervised clustering via copula transform and discrete feature extraction, three patient subgroups were identified. The subtype demonstrating high inter-dependency of diffusion and perfusion displayed higher lactate than the other two subtypes (P = 0.016 and P = 0.044, respectively). Both subtypes of low and high inter-dependency showed worse PFS compared to the intermediate subtype (P = 0.046 and P = 0.009, respectively). V. Using a radiomics approach, advanced physiological images showed better performance than structural images for predicting O6-methylguanine-DNA methyltransferase (MGMT) methylation status. For predicting 12-month PFS, the model of radiomic features and clinical factors outperformed the model of MGMT methylation and clinical factors (P = 0.010). In summary, pre-operative multi-parametric MRI shows potential for the non-invasive evaluation of glioblastoma heterogeneity, which could provide crucial information for patient care.
APA, Harvard, Vancouver, ISO, and other styles
2

Gibbs, Peter. "Rapid parametric imaging in NMR." Thesis, University of Nottingham, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.277804.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Maxeiner, Andreas [Verfasser]. "Evaluation of multi-parametric Magnetic Resonance Imaging for the detection of prostate cancer / Andreas Maxeiner." Berlin : Medizinische Fakultät Charité - Universitätsmedizin Berlin, 2014. http://d-nb.info/1056908114/34.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

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

Full text
Abstract:
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.<br>Science, Faculty of<br>Chemistry, Department of<br>Graduate
APA, Harvard, Vancouver, ISO, and other styles
5

Shilling, Richard Zethward. "A multi-stack framework in magnetic resonance imaging." Diss., Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/33807.

Full text
Abstract:
Magnetic resonance imaging (MRI) is the preferred imaging modality for visualization of intracranial soft tissues. Surgical planning, and increasingly surgical navigation, use high resolution 3-D patient-specific structural maps of the brain. However, the process of MRI is a multi-parameter tomographic technique where high resolution imagery competes against high contrast and reasonable acquisition times. Resolution enhancement techniques based on super-resolution are particularly well suited in solving the problems of resolution when high contrast with reasonable times for MRI acquisitions are needed. Super-resolution is the concept of reconstructing a high resolution image from a set of low-resolution images taken at dierent viewpoints or foci. The MRI encoding techniques that produce high resolution imagery are often sub-optimal for the desired contrast needed for visualization of some structures in the brain. A novel super-resolution reconstruction framework for MRI is proposed in this thesis. Its purpose is to produce images of both high resolution and high contrast desirable for image-guided minimally invasive brain surgery. The input data are multiple 2-D multi-slice Inversion Recovery MRI scans acquired at orientations with regular angular spacing rotated around a common axis. Inspired by the computed tomography domain, the reconstruction is a 3-D volume of isotropic high resolution, where the inversion process resembles a projection reconstruction problem. Iterative algorithms for reconstruction are based on the projection onto convex sets formalism. Results demonstrate resolution enhancement in simulated phantom studies, and in ex- and in-vivo human brain scans, carried out on clinical scanners. In addition, a novel motion correction method is applied to volume registration using an iterative technique in which super-resolution reconstruction is estimated in a given iteration following motion correction in the preceding iteration. A comparison study of our method with previously published methods in super-resolution shows favorable characteristics of the proposed approach.
APA, Harvard, Vancouver, ISO, and other styles
6

Laruelo, Fernandez Andrea. "Integration of magnetic resonance spectroscopic imaging into the radiotherapy treatment planning." Thesis, Toulouse 3, 2016. http://www.theses.fr/2016TOU30126/document.

Full text
Abstract:
L'objectif de cette thèse est de proposer de nouveaux algorithmes pour surmonter les limitations actuelles et de relever les défis ouverts dans le traitement de l'imagerie spectroscopique par résonance magnétique (ISRM). L'ISRM est une modalité non invasive capable de fournir la distribution spatiale des composés biochimiques (métabolites) utilisés comme biomarqueurs de la maladie. Les informations fournies par l'ISRM peuvent être utilisées pour le diagnostic, le traitement et le suivi de plusieurs maladies telles que le cancer ou des troubles neurologiques. Cette modalité se montre utile en routine clinique notamment lorsqu'il est possible d'en extraire des informations précises et fiables. Malgré les nombreuses publications sur le sujet, l'interprétation des données d'ISRM est toujours un problème difficile en raison de différents facteurs tels que le faible rapport signal sur bruit des signaux, le chevauchement des raies spectrales ou la présence de signaux de nuisance. Cette thèse aborde le problème de l'interprétation des données d'ISRM et la caractérisation de la rechute des patients souffrant de tumeurs cérébrales. Ces objectifs sont abordés à travers une approche méthodologique intégrant des connaissances a priori sur les données d'ISRM avec une régularisation spatio-spectrale. Concernant le cadre applicatif, cette thèse contribue à l'intégration de l'ISRM dans le workflow de traitement en radiothérapie dans le cadre du projet européen SUMMER (Software for the Use of Multi-Modality images in External Radiotherapy) financé par la Commission européenne (FP7-PEOPLE-ITN)<br>The aim of this thesis is to propose new algorithms to overcome the current limitations and to address the open challenges in the processing of magnetic resonance spectroscopic imaging (MRSI) data. MRSI is a non-invasive modality able to provide the spatial distribution of relevant biochemical compounds (metabolites) commonly used as biomarkers of disease. Information provided by MRSI can be used as a valuable insight for the diagnosis, treatment and follow-up of several diseases such as cancer or neurological disorders. Obtaining accurate and reliable information from in vivo MRSI signals is a crucial requirement for the clinical utility of this technique. Despite the numerous publications on the topic, the interpretation of MRSI data is still a challenging problem due to different factors such as the low signal-to-noise ratio (SNR) of the signals, the overlap of spectral lines or the presence of nuisance components. This thesis addresses the problem of interpreting MRSI data and characterizing recurrence in tumor brain patients. These objectives are addressed through a methodological approach based on novel processing methods that incorporate prior knowledge on the MRSI data using a spatio-spectral regularization. As an application, the thesis addresses the integration of MRSI into the radiotherapy treatment workflow within the context of the European project SUMMER (Software for the Use of Multi-Modality images in External Radiotherapy) founded by the European Commission (FP7-PEOPLE-ITN framework)
APA, Harvard, Vancouver, ISO, and other styles
7

El-Shater, Bosaily Ahmed. "Multi parametric magnetic resonance imaging in the early detection and risk stratification of prostate cancer : the PROMIS trial." Thesis, University College London (University of London), 2018. http://discovery.ucl.ac.uk/10050797/.

Full text
Abstract:
Although prostate cancer is the most common cancer in men, it remains a difficult and controversial disease in terms of its diagnostic, risk stratification and treatment pathway. This is mainly due to the shortcomings of the standard diagnostic test, trans rectal ultrasound guided biopsy (TRUSBx), that is triggered following an elevated serum prostate specific antigen (PSA) test and the lack of agreement on disease thresholds that correlate to patient risk, if left untreated (and thus undetected). These factors often complicate the selection of the appropriate management that best fits the individual patient. In this doctoral thesis I propose, examine and validate a different approach that aims to shift the current diagnostic paradigm to that of incorporating an imaging test, multi-parametric magnetic resonance imaging (MP-MRI), prior to TRUS biopsy. First, I will discuss the nature of prostate cancer and highlight the shortcomings of the current diagnostic pathway and their implications. Second, I will analyze the shortcomings in early MP-MRI research that might have hindered its acceptance and adoption into the pathway and review the advances in research that occurred since I started my research. Third, I will discuss the rationale and methodological design considerations behind the PROstate Mri Imaging Study (PROMIS). PROMIS was a multicentre diagnostic paired validating confirmatory cohort study conducted to provide level 1b evidence on diagnostic accuracy of MP-MRI. It was designed to avoid the pitfalls identified in the current literature. I will discuss and analyze the design, conduct and results of the trial and its implications. Finally, I will discuss the wider implications of my work on the clinical practice of prostate cancer management and the future research opportunities made possible by the PROMIS data and its findings.
APA, Harvard, Vancouver, ISO, and other styles
8

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.

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
9

Frost, Stephen Robert. "Diffusion-weighted magnetic resonance imaging with readout-segmented echo-planar imaging." Thesis, University of Oxford, 2012. https://ora.ox.ac.uk/objects/uuid:94421cdc-6bcb-49c2-b9d9-64e016b875f8.

Full text
Abstract:
Diffusion-weighted (DW) magnetic resonance imaging is an important neuroimaging technique that has successful applications in diagnosis of ischemic stroke and methods based on diffusion tensor imaging (DTI). Tensor measures have been used for detecting changes in tissue microstructure and for non-invasively tracing white matter connections in vivo. The most common image acquistion strategy is to use a DW single-shot echo-planar imaging (ss-EPI) pulse sequence, which is attractive due to its robustness to motion artefacts and high imaging speed. However, this sequence has limited achievable spatial resolution and suffers from geometric distortion and blurring artefacts. Readout-segmented echo-planar imaging (rs-EPI) is a DW sequence that is capable of acquiring high-resolution images by segmenting the acquisition of k- space into multiple shots. The fast, short readouts reduce distortion and blurring and the problem of artefacts due to motion-induced phase changes between shots can be overcome with navigator techniques. The rs-EPI sequence has two main shortcomings. (i) The method is slow to produce image volumes, which is limiting for clinical scans due to patient welfare and prevents us from acquiring very many directions in DTI. (ii) The sequence (like other diffusion techniques) is far from the optimum repetition time (TR) for acquiring data with the highest possible signal-to-noise ratio (SNR) in a given time. The work in this thesis seeks to address both of these important issues using a range of approaches. In Chapter 4 a partial Fourier extension is presented, which addresses point (i) by reducing the number of readout segments acquired and estimating the missing data. This allows reductions in scan time by approximately 40&percnt; and the reliability of the images is demonstrated in comparisons with the original images. The application of a simultaneous multi-slice scheme to rs-EPI, to address points (i) and (ii), is described in Chapter 5. Using the slice-accelerated rs-EPI sequence, tractography data were compared to ss-EPI data and high-resolution trace-weighted data were acquired in clinically relevant scan times. Finally, a 3D multi-slab extension that addresses point (i) is presented in Chapter 6. A 3D sequence could also allow higher resolution in the slice direction than 2D multi-slice methods, which are limited by the difficulties in exciting thin, accurate slices. A 3D version of rs-EPI was simulated and implemented and a k-space acquisition synchronised to the cardiac cycle showed substantial improvements in image artefacts compared to a conventional k-space acquisition.
APA, Harvard, Vancouver, ISO, and other styles
10

Tang, Weidong Reeves Stanley J. "Reconstruction of parametric image maps in single- and multiple-coil functional magnetic resonance imaging." Auburn, Ala, 2009. http://hdl.handle.net/10415/1819.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Multi-parametric magnetic resonance imaging"

1

J, Friston K., ed. Statistical parametric mapping: The analysis of funtional brain images. Elsevier/Academic Press, 2007.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Ashburner, John T., William D. Penny, Karl J. Friston, Thomas E. Nichols, and Stefan J. Kiebel. Statistical Parametric Mapping: The Analysis of Functional Brain Images. Academic Press, 2006.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Ashburner, John T., William D. Penny, Karl J. Friston, Thomas E. Nichols, and Stefan J. Kiebel. Statistical Parametric Mapping: The Analysis of Functional Brain Images. Elsevier Science & Technology Books, 2011.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Nixdorff, Uwe, Stephan Achenbach, Frank Bengel, et al. Imaging in cardiovascular prevention. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199656653.003.0006.

Full text
Abstract:
Imaging tools in preventive cardiology can be divided into imaging modalities to assess pre-clinical and clinical atherosclerosis and functional assessments of vascular function or vascular inflammation. To calculate the likelihood of pre-clinical atherosclerosis intima-media thickness as well as coronary calcium scoring are most frequently used. However, beyond these two there are other parameters derived by ultrasound and multi-detector computed tomography as well as magnetic resonance imaging and nuclear/molecular imaging which are discussed in the chapter. Functional tests include flow-mediated dilatation, pulse wave analysis, and the ankle-brachial index. In clinical research other invasive measurements such as intravascular ultrasound/virtual histology/elastography, optical coherence tomography as well as thermography are being used. However, their value in clinical prevention still needs to be established.
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Multi-parametric magnetic resonance imaging"

1

Kotecha, Mrignayani. "Principles and Applications of Quantitative Parametric MRI in Tissue Engineering." In Magnetic Resonance Imaging in Tissue Engineering. John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119193272.ch2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Sinha, Rohitashwa, Karol P. Budohoski, Victoria E. L. Young, and Rikin A. Trivedi. "Magnetic Resonance Imaging of Vulnerable Carotid Plaques." In Multi-Modality Atherosclerosis Imaging and Diagnosis. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7425-8_9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Lalande, Alain, Mireille Garreau, Frédérique Frouin, and GRIC-MediEval. "Evaluation of Cardiac Structure Segmentation in Cine Magnetic Resonance Imaging." In Multi-Modality Cardiac Imaging. John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781118574362.ch5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Anzidei, Michele, Chiara Zini, Vincenzo Noce, and Carlo Catalano. "Contrast Agents in Carotid Angiography with Magnetic Resonance." In Multi-Modality Atherosclerosis Imaging and Diagnosis. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7425-8_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Neyran, Bruno, and Magalie Viallon. "Post-Processing and Analysis of Dynamic Magnetic Resonance Images for Myocardial Perfusion Quantification." In Multi-Modality Cardiac Imaging. John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781118574362.ch3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Groenink, M., and F. J. Meijboom. "Beeldvorming: echocardiografie, magnetic resonance imaging, multi-slice computertomografie." In Aangeboren hartafwijkingen bij volwassenen. Bohn Stafleu van Loghum, 2013. http://dx.doi.org/10.1007/978-90-368-0307-6_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Maffei, Erica, Giancarlo Messalli, Cesare Mantini, et al. "Quantitative Magnetic Resonance Analysis in the Assessment of Cardiac Diseases." In Multi-Modality Atherosclerosis Imaging and Diagnosis. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7425-8_6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Neyran, Bruno, and Magalie Viallon. "Appendix 2: Post-Processing and Analysis of Dynamic Magnetic Resonance Images for Myocardial Perfusion Quantification." In Multi-Modality Cardiac Imaging. John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781118574362.app2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Khalvati, Farzad, Amen Modhafar, Andrew Cameron, Alexander Wong, and Masoom A. Haider. "A Multi-Parametric Diffusion Magnetic Resonance Imaging Texture Feature Model for Prostate Cancer Analysis." In Computational Diffusion MRI. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11182-7_8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Wang, Shui-Hua, Yu-Dong Zhang, Zhengchao Dong, and Preetha Phillips. "Multi-scale and Multi-resolution Features for Structural Magnetic Resonance Imaging." In Pathological Brain Detection. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-4026-9_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Multi-parametric magnetic resonance imaging"

1

Huang, Weikai, Xiangyu Wang, Yijin Huang, Fan Lin, and Xiaoying Tang. "Multi-parametric Magnetic Resonance Imaging Fusion for Automatic Classification of Prostate Cancer." In 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2022. http://dx.doi.org/10.1109/embc48229.2022.9871334.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Mejia, Gabriel, Danniel Moreno, Daniela Ruiz, and Nicolas Aparicio. "Hirni: Segmentation of Brain Tumors in Multi-parametric Magnetic Resonance Imaging Scans." In 2021 IEEE 2nd International Congress of Biomedical Engineering and Bioengineering (CI-IB&BI). IEEE, 2021. http://dx.doi.org/10.1109/ci-ibbi54220.2021.9626115.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Liu, Meng, Yunmei Chen, Hao Zhang, and Feng Huang. "Multi-contrast magnetic resonance image reconstruction." In SPIE Medical Imaging, edited by Sébastien Ourselin and Martin A. Styner. SPIE, 2015. http://dx.doi.org/10.1117/12.2082136.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Li, Cheng, Yousuf Babiker M. Osman, Weijian Huang, et al. "Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information Fusion for 3D Object Segmentation." In 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI). IEEE, 2023. http://dx.doi.org/10.1109/isbi53787.2023.10230478.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

To, Minh Nguyen Nhat, Sandeep Sankineni, Sheng Xu, et al. "Deep Learning Framework for Epithelium Density Estimation in Prostate Multi-Parametric Magnetic Resonance Imaging." In 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI). IEEE, 2020. http://dx.doi.org/10.1109/isbi45749.2020.9098475.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Lemaitre, Guillaume, Robert Marti, Mojdeh Rastgoo, and Fabrice Meriaudeau. "Computer-aided detection for prostate cancer detection based on multi-parametric magnetic resonance imaging." In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2017. http://dx.doi.org/10.1109/embc.2017.8037522.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Li, Yuwei, Minye Wu, Yuyao Zhang, Lan Xu, and Jingyi Yu. "PIANO: A Parametric Hand Bone Model from Magnetic Resonance Imaging." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/113.

Full text
Abstract:
Hand modeling is critical for immersive VR/AR, action understanding, or human healthcare. Existing parametric models account only for hand shape, pose, or texture, without modeling the anatomical attributes like bone, which is essential for realistic hand biomechanics analysis. In this paper, we present PIANO, the first parametric bone model of human hands from MRI data. Our PIANO model is biologically correct, simple to animate, and differentiable, achieving more anatomically precise modeling of the inner hand kinematic structure in a data-driven manner than the traditional hand models based on the outer surface only. Furthermore, our PIANO model can be applied in neural network layers to enable training with a fine-grained semantic loss, which opens up the new task of data-driven fine-grained hand bone anatomic and semantic understanding from MRI or even RGB images. We make our model publicly available.
APA, Harvard, Vancouver, ISO, and other styles
8

Monga, Shveta, Ladislav Valkovič, Masliza Mahmod, Saul G. Myerson, Stefan Neubauer, and Oliver J. Rider. "OP3 Metabolic phenotyping in aortic stenosis: insights from a multi-parametric cardiac magnetic resonance study." In British Society of Cardiovascular Imaging Annual Meeting, Bath, 2022. BMJ Publishing Group Ltd and British Cardiovascular Society, 2022. http://dx.doi.org/10.1136/heartjnl-2022-bsci.3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Güngör, Alper, Emre Kopanoğlu, Tolga Çukur, and H. Emre Güven. "Fast recovery of compressed multi-contrast magnetic resonance images." In SPIE Medical Imaging, edited by Martin A. Styner and Elsa D. Angelini. SPIE, 2017. http://dx.doi.org/10.1117/12.2252101.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Eliasi, Parisa Amiri, Li Feng, Ricardo Otazo, and Sundeep Rangan. "Fast magnetic resonance parametric imaging via structured low-rank matrix reconstruction." In 2014 48th Asilomar Conference on Signals, Systems and Computers. IEEE, 2014. http://dx.doi.org/10.1109/acssc.2014.7094477.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Multi-parametric magnetic resonance imaging' for particular source types:
Journal articles Dissertations / Theses
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography