Relevant bibliographies by topics / MRI physics

Contents

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

Academic literature on the topic 'MRI physics'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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Journal articles on the topic "MRI physics"

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Lambert, R. G. W. "MRI Physics for Physicians." Radiology 174, no. 1 (January 1990): 186. http://dx.doi.org/10.1148/radiology.174.1.186.

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Sharma, Harish A. "MRI physics–basic principles." Acta Neuropsychiatrica 21, no. 4 (August 2009): 200–201. http://dx.doi.org/10.1111/j.1601-5215.2009.00404.x.

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Sharma, Harish A., and Jim Lagopoulos. "MRI physics: pulse sequences." Acta Neuropsychiatrica 22, no. 2 (April 2010): 90–92. http://dx.doi.org/10.1111/j.1601-5215.2010.00449.x.

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Taghizadeh, Sanaz, and James Lincoln. "MRI experiments for introductory physics." Physics Teacher 56, no. 4 (April 2018): 266–68. http://dx.doi.org/10.1119/1.5028251.

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Plewes, Donald B., and Walter Kucharczyk. "Physics of MRI: A primer." Journal of Magnetic Resonance Imaging 35, no. 5 (April 12, 2012): spcone. http://dx.doi.org/10.1002/jmri.23550.

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Plewes, Donald B., and Walter Kucharczyk. "Physics of MRI: A primer." Journal of Magnetic Resonance Imaging 35, no. 5 (April 12, 2012): 1038–54. http://dx.doi.org/10.1002/jmri.23642.

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Kiselev, Valerij G. "Fundamentals of diffusion MRI physics." NMR in Biomedicine 30, no. 3 (February 23, 2017): e3602. http://dx.doi.org/10.1002/nbm.3602.

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Panych, Lawrence P., and Bruno Madore. "The physics of MRI safety." Journal of Magnetic Resonance Imaging 47, no. 1 (May 19, 2017): 28–43. http://dx.doi.org/10.1002/jmri.25761.

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Raaymakers, B., and J. J. W. Lagendijk. "SP-0483: MRI Linac: physics perspective." Radiotherapy and Oncology 119 (April 2016): S231. http://dx.doi.org/10.1016/s0167-8140(16)31732-7.

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Luypaert, R., S. Boujraf, S. Sourbron, and M. Osteaux. "Diffusion and perfusion MRI: basic physics." European Journal of Radiology 38, no. 1 (April 2001): 19–27. http://dx.doi.org/10.1016/s0720-048x(01)00286-8.

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Dissertations / Theses on the topic "MRI physics"

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Hiltunen, S. (Sami). "Puun lahoamisprosessin seuraaminen NMR- ja MRI-menetelmillä." Bachelor's thesis, University of Oulu, 2018. http://urn.fi/URN:NBN:fi:oulu-201801201103.

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Tutkielma käsittelee NMR-spektroskopian ja magneettikuvauksen menetelmiä, joilla lahoavaa puuta voidaan mahdollisesti kuvata ja tutkia. Lisäksi tutkielmassa esitetään tärkeimpiä teoreettisia lähtökohtia puun lahoamiselle, NMR-spektroskopialle sekä magneettikuvaukselle.
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Seeber, Derek A. "Toward MRI microimaging of single biological cells /." The Ohio State University, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=osu1486398528559205.

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Kidane, Tesfaye Kebede. "Toward Faster and Quieter MRI." Case Western Reserve University School of Graduate Studies / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=case1118850517.

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Anblagan, Devasuda. "MRI of foetal development." Thesis, University of Nottingham, 2012. http://eprints.nottingham.ac.uk/30592/.

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Foetal MRI represents a non-invasive imaging technique that allows detailed visualisation of foetus in utero and the maternal structure. This thesis outlines the quantitative imaging techniques used to investigate the effect of maternal diabetes and maternal smoking on foetal development at 1.5 Tesla. The effect of maternal diabetes on placental blood flow and foetal growth was studied. The placental images were acquired using Echo Planar Imaging and blood flow was measured using Intra Voxel Incoherent Motion. The results indicate that peak blood flow in the basal plate and chorionic plate increases across gestation in both normal and diabetic pregnancies. Conversely, diffusion in the whole placenta decreases across gestation, with a more pronounced decrease in diabetic placentae. Following this, a method was developed to use a Tl weighted fat suppressed MRI scan to quantify foetal fat images in-utero. In addition, HAlf Fourier Single-shot Turbo spin Echo (HASTE) and balanced Fast Field Echo (bFFE) were used to acquire images encompassing the whole foetus in three orthogonal planes. These scans were used to measure foetal volume, foetal length and shoulder width. The data shows that foetal fat volume and intra-abdominal fat were increased in foetuses of diabetic mothers at third trimester. The HASTE and bFFE sequences were also used to study the effect of maternal smoking on foetal development. Here, foetal organ volumes, foetal and placental volume, shoulder width and foetal length were measured using a semiautomatic approach based on the concept of edge detection and a stereological method, the Cavalieri technique. The data shows that maternal smoking has significant negative effect on foetal organ growth and foetal growth, predominantly foetal kidney and foetal volume. The work described here certainly has a great potential in non-invasive assessment of abnormal placental function and can be used to study foetal development.
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Yao, Zhen. "OPTIMIZING RF AND GRADIENT COILS IN MRI." Case Western Reserve University School of Graduate Studies / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1402058570.

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Soltaninejad, Mohammadreza. "Supervised learning-based multimodal MRI brain image analysis." Thesis, University of Lincoln, 2017. http://eprints.lincoln.ac.uk/30883/.

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Medical imaging plays an important role in clinical procedures related to cancer, such as diagnosis, treatment selection, and therapy response evaluation. Magnetic resonance imaging (MRI) is one of the most popular acquisition modalities which is widely used in brain tumour analysis and can be acquired with different acquisition protocols, e.g. conventional and advanced. Automated segmentation of brain tumours in MR images is a difficult task due to their high variation in size, shape and appearance. Although many studies have been conducted, it still remains a challenging task and improving accuracy of tumour segmentation is an ongoing field. The aim of this thesis is to develop a fully automated method for detection and segmentation of the abnormal tissue associated with brain tumour (tumour core and oedema) from multimodal MRI images. In this thesis, firstly, the whole brain tumour is segmented from fluid attenuated inversion recovery (FLAIR) MRI, which is commonly acquired in clinics. The segmentation is achieved using region-wise classification, in which regions are derived from superpixels. Several image features including intensity-based, Gabor textons, fractal analysis and curvatures are calculated from each superpixel within the entire brain area in FLAIR MRI to ensure a robust classification. Extremely randomised trees (ERT) classifies each superpixel into tumour and non-tumour. Secondly, the method is extended to 3D supervoxel based learning for segmentation and classification of tumour tissue subtypes in multimodal MRI brain images. Supervoxels are generated using the information across the multimodal MRI data set. This is then followed by a random forests (RF) classifier to classify each supervoxel into tumour core, oedema or healthy brain tissue. The information from the advanced protocols of diffusion tensor imaging (DTI), i.e. isotropic (p) and anisotropic (q) components is also incorporated to the conventional MRI to improve segmentation accuracy. Thirdly, to further improve the segmentation of tumour tissue subtypes, the machine-learned features from fully convolutional neural network (FCN) are investigated and combined with hand-designed texton features to encode global information and local dependencies into feature representation. The score map with pixel-wise predictions is used as a feature map which is learned from multimodal MRI training dataset using the FCN. The machine-learned features, along with hand-designed texton features are then applied to random forests to classify each MRI image voxel into normal brain tissues and different parts of tumour. The methods are evaluated on two datasets: 1) clinical dataset, and 2) publicly available Multimodal Brain Tumour Image Segmentation Benchmark (BRATS) 2013 and 2017 dataset. The experimental results demonstrate the high detection and segmentation performance of the III single modal (FLAIR) method. The average detection sensitivity, balanced error rate (BER) and the Dice overlap measure for the segmented tumour against the ground truth for the clinical data are 89.48%, 6% and 0.91, respectively; whilst, for the BRATS dataset, the corresponding evaluation results are 88.09%, 6% and 0.88, respectively. The corresponding results for the tumour (including tumour core and oedema) in the case of multimodal MRI method are 86%, 7%, 0.84, for the clinical dataset and 96%, 2% and 0.89 for the BRATS 2013 dataset. The results of the FCN based method show that the application of the RF classifier to multimodal MRI images using machine-learned features based on FCN and hand-designed features based on textons provides promising segmentations. The Dice overlap measure for automatic brain tumor segmentation against ground truth for the BRATS 2013 dataset is 0.88, 0.80 and 0.73 for complete tumor, core and enhancing tumor, respectively, which is competitive to the state-of-the-art methods. The corresponding results for BRATS 2017 dataset are 0.86, 0.78 and 0.66 respectively. The methods demonstrate promising results in the segmentation of brain tumours. This provides a close match to expert delineation across all grades of glioma, leading to a faster and more reproducible method of brain tumour detection and delineation to aid patient management. In the experiments, texton has demonstrated its advantages of providing significant information to distinguish various patterns in both 2D and 3D spaces. The segmentation accuracy has also been largely increased by fusing information from multimodal MRI images. Moreover, a unified framework is present which complementarily integrates hand-designed features with machine-learned features to produce more accurate segmentation. The hand-designed features from shallow network (with designable filters) encode the prior-knowledge and context while the machine-learned features from a deep network (with trainable filters) learn the intrinsic features. Both global and local information are combined using these two types of networks that improve the segmentation accuracy.
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Ball, Iain Keith. "Functional pulmonary MRI using hyperpolarised 3He." Thesis, University of Nottingham, 2011. http://eprints.nottingham.ac.uk/12207/.

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The microstructure of the lung is complex, containing many branching airways and alveolar sacs for optimal gas exchange. Lung diseases such as cystic fibrosis (CF), asthma, and emphysema lead to a destruction of this microstructure. As such, there is a growing interest in the early identification and assessment of lung disease using non invasive imaging techniques. Pulmonary function tests such as spirometry and plethysmography are currently used for this purpose but can only provide quantitative lung function measurements rather than direct measurements of lung physiology and disease. Computed tomography (CT) has also been used but due to risk of cell damage and mutation from the ionising radiation, long term monitoring of the lungs is severely constrained. Recently, new methods based on magnetic resonance imaging (MRI) have been developed to provide diagnostic imaging of the lung. Conventional MRI is not very well suited for lung imaging due to the very low proton density of the pulmonary airspaces. This problem can be overcome by making the patient inspire noble gases such as 3He whose polarisations have been vastly increased through optical pumping. Therefore 3He MRI permits a non-invasive determination of lung function. The high diffusion coefficient of 3He can be exploited to probe the microstructure of the lung. By measuring how fast 3He diffuses within the lung, the size of the lung microstructure can be assessed. Normally, the airspace walls impede the diffusion of the gas but for diseased lungs where microstructure has been destroyed, diffusion is less restricted and a higher apparent diffusion coefficient (ADC) is observed. The research conducted for this thesis focused on the measurement of ADC using three different MRI pulse sequences with each sequence being designed to assess the peripheral airspaces over different length scales. These sequences were then implemented on three different subject study groups.
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Massey, Jermane E. (Jermane Edward) 1972. "Line narrowing of fiber coupled laser diode array and ³He lung MRI." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/85356.

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Thorpe, James. "Lung mechanics and hyperpolarised gas MRI." Thesis, University of Nottingham, 2018. http://eprints.nottingham.ac.uk/53283/.

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Lung diseases affect the lives of millions of people across the UK and result in the thousands of deaths every year. It is therefore vitally important to continue to develop a wide range of diagnostic techniques to improve our understanding of lung diseases and how they can be treated. This thesis provides an overview of the main methods of assessing lung condition before focussing on developments in two specific areas: Forced Oscillation Technique (FOT) and Hyperpolarised (HP) gas MRI. FOT is an inexpensive, non-invasive lung function test that measures the acoustic impedance of the airways by applying an oscillating waveform via a mouthpiece. FOT cannot be used to image the lung but instead provides information on a variety of other physiological parameters. Two FOT studies are presented in this thesis: a multi-site phantom study and a patient based study. The phantom study confirmed the validity of the Nottingham FOT system used in the patient study and investigated the effects of lung stiffness and airway obstruction on measured FOT parameters using a 3D printed lung phantom, as well as comparing phantom results between three different FOT devices (an in-house device from the University of Nottingham, an Erich Jaeger Master-Screen IOS and a tremoFlo C-100 airwave oscillometry system) at two sites (the University of Nottingham and Glenfield Hospital, Leicester). It was found that changes in lung stiffness and airway obstruction are observable in the reactive and resistive (respectively) components of measured impedance. A difference was seen between the Jaeger IOS system and the other two devices. The patient based study was undertaken to investigate the efficacy of FOT, in comparison to spirometry, in differentiating between three patient groups, healthy, asthmatic and chronic obstructive pulmonary disease (COPD), with a particular focus on investigating the effect of a bronchodilator on measured FOT parameters. It was found that both FOT and Spirometry were effective at differentiating between the patient groups, however, they provided different information about patient response to bronchodilator thus demonstrating that both techniques should be performed to obtain the maximum information about a patient's disease state. HP gas MRI uses isotopes of noble gases, such as 3He and 129Xe, to either image the lungs or perform non-imaging measurements of parameters such as the Apparent Diffusion Coeffcient (ADC). A short study using 3He was performed comparing ADC measurements at two different time scales between two sites (the University of Nottingham, 13ms, and the University of Sheffield, 2ms) with a secondary aim of investigating the effect of age on ADC. A study on HP 129Xe MRI is presented covering developments that have been made in various imaging techniques including breathing protocols and scanning techniques. The objective of this study is to establish a reliable scanning protocol using healthy volunteers before expanding the study to investigate different disease states including COPD and idiopathic pulmonary Fibrosis (IPF). Although progress has been made in testing the validity of various imaging techniques, with ventilation images at 25mm and 10mm slice thicknesses obtained, more development is still needed to improve the quality of the images in order for them to be useful in a clinical setting.
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Sulikowska, Aleksandra. "Motion correction in high-field MRI." Thesis, University of Nottingham, 2016. http://eprints.nottingham.ac.uk/33674/.

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The work described in this thesis was conducted at the University of Nottingham in the Sir Peter Mansfield Imaging Centre, between September 2011 and 2014. Subject motion in high- resolution magnetic resonance imaging (MRI) is a major source of image artefacts. It is a very complex problem, due to variety of physical motion types, imaging techniques, or k-space trajectories. Many techniques have been proposed over the years to correct images for motion, all looking for the best practical solution in clinical scanning, which would give cost- effective, robust and high accuracy correction, without decreasing patient comfort or prolonging the scan time. Moreover, if the susceptibility induced field changes due to head rotation are large enough, they will compromise motion correction methods. In this work a method for prospective correction of head motion for MR brain imaging at 7 T was proposed. It would employ innovative NMR tracking devices not presented in literature before. The device presented in this thesis is characterized by a high accuracy of position measurements (0.06 ± 0.04 mm), is considered very practical, and stands the chance to be used in routine imaging in the future. This study also investigated the significance of the field changes induced by the susceptibility in human brain due to small head rotations (±10 deg). The size and location of these field changes were characterized, and then the effects of the changes on the image were simulated. The results have shown that the field shift may be as large as |-18.3| Hz/deg. For standard Gradient Echo sequence at 7 T and a typical head movement, the simulated image distortions were on average equal to 0.5%, and not larger than 15% of the brightest voxel. This is not likely to compromise motion correction, but may be significant in some imaging sequences.
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Books on the topic "MRI physics"

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Horowitz, Alfred L. MRI Physics for Physicians. New York, NY: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-0333-6.

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Horowitz, Alfred L. MRI Physics for Radiologists. New York, NY: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4684-0428-9.

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Horowitz, Alfred L. MRI Physics for Radiologists. New York, NY: Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4612-0785-6.

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Horowitz, Alfred L. MRI physics for physicians. New York: Springer-Verlag, 1989.

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1953-, Nitz Wolfgang R., and Schmeets Stuart H. 1971-, eds. The physics of MRI taught through images. 2nd ed. New York: Thieme, 2009.

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Horowitz, Alfred L. MRI physics for radiologists: A visual approach. 2nd ed. New York: Berlin, 1992.

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MRI physics for radiologists: A visual approach. 3rd ed. New York: Springer-Verlag, 1995.

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Berry, Elizabeth. Fundamentals of MRI: An interactive learning approach. Boca Raton: Taylor & Francis, 2008.

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Elmaoğlu, Muhammed. MRI handbook: MR physics, patient positioning, and protocols. New York: Springer, 2012.

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G, Bradley William, and Lisanti Christopher J, eds. MRI: The basics. 3rd ed. Philadelphia, PA: Lippincott Williams & Wilkins, 2010.

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Book chapters on the topic "MRI physics"

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Martinez, Gary V. "Introduction to MRI Physics." In Preclinical MRI, 3–19. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7531-0_1.

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Muthurangu, Vivek, and Steven Dymarkowski. "Cardiac MRI Physics." In Clinical Cardiac MRI, 1–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/174_2011_412.

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Aletras, Anthony H. "Basic MRI Physics." In Cardiovascular Magnetic Resonance Imaging, 1–31. Totowa, NJ: Humana Press, 2008. http://dx.doi.org/10.1007/978-1-59745-306-6_1.

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McKinnon, G. "The Physics of Ultrafast MRI." In Ultrafast MRI, 1–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-80384-0_1.

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Catana, Ciprian. "PET/MRI." In Physics of PET and SPECT Imaging, 379–409. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2017. http://dx.doi.org/10.1201/9781315374383-20.

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Hall, Matt G. "The MR Physics of Advanced Diffusion Imaging." In Computational Diffusion MRI, 1–20. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54130-3_1.

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Deshpande, Amit Ajit, Rishabh Khurana, and Gurpreet Gulati. "CMR Physics." In CT and MRI in Congenital Heart Diseases, 3–27. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6755-1_1.

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Siversson, Carl. "Basic MRI Physics and Artifacts." In Hip Magnetic Resonance Imaging, 3–18. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-1668-5_1.

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Borges, Pedro, Carole Sudre, Thomas Varsavsky, David Thomas, Ivana Drobnjak, Sebastien Ourselin, and M. Jorge Cardoso. "Physics-Informed Brain MRI Segmentation." In Simulation and Synthesis in Medical Imaging, 100–109. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32778-1_11.

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Sammet, Steffen. "Magnetic Resonance Imaging (MRI)." In An Introduction to Medical Physics, 263–79. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61540-0_9.

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Conference papers on the topic "MRI physics"

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Wang, Tonghe, Yang Lei, Xue Dong, Kristin Higgins, Tian Liu, Walter J. Curran, Hui Mao, Jonathon A. Nye, and Xiaofeng Yang. "Attenuation correction for PET/MRI using MRI-based pseudo CT." In Physics of Medical Imaging, edited by Hilde Bosmans and Guang-Hong Chen. SPIE, 2020. http://dx.doi.org/10.1117/12.2548158.

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Wright, Steven M. "RF coil arrays in MRI." In MEDICAL PHYSICS. ASCE, 1998. http://dx.doi.org/10.1063/1.56377.

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Esparza-Coss, Emilio, and David M. Cole. "A low cost MRI permanent magnet prototype." In MEDICAL PHYSICS. ASCE, 1998. http://dx.doi.org/10.1063/1.56391.

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Pavan, Theo Z., Sílvio L. Vieira, Anto^nio A. O. Carneiro, Gerardo Herrera Corral, and Luis Manuel Montaño Zentina. "Elastography: A New Ultrasound and MRI Procedure." In MEDICAL PHYSICS: Tenth Mexican Symposium on Medical Physics. AIP, 2008. http://dx.doi.org/10.1063/1.2979304.

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Chen, Yutong, David Firmin, and Guang Yang. "Wavelet improved GAN for MRI reconstruction." In Physics of Medical Imaging, edited by Hilde Bosmans, Wei Zhao, and Lifeng Yu. SPIE, 2021. http://dx.doi.org/10.1117/12.2581004.

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Ilgisonis, V. I., I. V. Khalzov, V. P. Lakhin, A. I. Smolyakov, Giuseppe Bertin, Franca De Luca, Giuseppe Lodato, Roberto Pozzoli, and Massimiliano Romé. "What physics does affect the MRI threshold." In PLASMAS IN THE LABORATORY AND THE UNIVERSE: Interactions, Patterns, and Turbulence. AIP, 2010. http://dx.doi.org/10.1063/1.3460130.

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Solis-Najera, S. E., D. Tomasi, and A. O. Rodriguez. "Variation of MRI coil uniformity caused by μPET shieldings." In MEDICAL PHYSICS: Twelfth Mexican Symposium on Medical Physics. AIP, 2012. http://dx.doi.org/10.1063/1.4764596.

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Arteaga-Cardona, Fernando, Silvia Hidalgo-Tobón, Umapada Pal, and Miguel Ángel Méndez-Rojas. "Ferrites as magnetic fluids for hyperthermia and MRI contrast agents." In MEDICAL PHYSICS: Fourteenth Mexican Symposium on Medical Physics. Author(s), 2016. http://dx.doi.org/10.1063/1.4954118.

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Márquez, Jorge, Alfonso Gastélum, and Miguel A. Padilla. "Designing Image Operators for MRI-PET Image Fusion of the Brain." In MEDICAL PHYSICS: Ninth Mexican Symposium on Medical Physics. AIP, 2006. http://dx.doi.org/10.1063/1.2356412.

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Hernández-Salazar, G., S. Hidalgo-Tobon, S. Vargas-Cañas, O. Marrufo-Melendez, S. Solis-Najera, J. Taboada-Barajas, A. O. Rodríguez, and R. Delgado-Hernández. "Diffusion and ideal MRI techniques to characterize limb-girdle muscular dystrophy." In MEDICAL PHYSICS: Twelfth Mexican Symposium on Medical Physics. AIP, 2012. http://dx.doi.org/10.1063/1.4764612.

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Reports on the topic "MRI physics"

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Gonczy, J., W. Boroski, and R. Niemann. Multilayer Insulation (Mli) in the Superconducting Super Collider: A Practical Engineering Approach to Physical Parameters Governing Mli Thermal Performance. Office of Scientific and Technical Information (OSTI), March 1989. http://dx.doi.org/10.2172/1151491.

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You might also be interested in the extended bibliographies on the topic 'MRI physics' for particular source types:
Journal articles Dissertations / Theses Books
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