Relevant bibliographies by topics / Medical resonance imaging

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Academic literature on the topic 'Medical resonance imaging'

Author: Grafiati

Published: 10 January 2023

Last updated: 29 January 2023

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Journal articles on the topic "Medical resonance imaging"

Brown, James E., and Choon S. Lee. "Radiofrequency resonance heating near medical devices in magnetic resonance imaging." Microwave and Optical Technology Letters 55, no. 2 (December 21, 2012): 299–302. http://dx.doi.org/10.1002/mop.27332.

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de Beer, R. "Modelling of medical magnetic-resonance-imaging signals." IEE Proceedings - Vision, Image, and Signal Processing 141, no. 1 (1994): 71. http://dx.doi.org/10.1049/ip-vis:19949914.

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Erin, Onder, Mustafa Boyvat, Mehmet Efe Tiryaki, Martin Phelan, and Metin Sitti. "Magnetic Resonance Imaging System–Driven Medical Robotics." Advanced Intelligent Systems 2, no. 2 (January 20, 2020): 1900110. http://dx.doi.org/10.1002/aisy.201900110.

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Blümich, Bernhard. "Nuclear magnetic resonance imaging beyond medical tomography." Applied Magnetic Resonance 22, no. 2 (June 2002): 137–38. http://dx.doi.org/10.1007/bf03166097.

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Margulis, A. R., H. Hricak, and L. Crooks. "Medical applications of nuclear magnetic resonance imaging." Quarterly Reviews of Biophysics 19, no. 3-4 (May 1987): 221–37. http://dx.doi.org/10.1017/s0033583500004133.

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In the very short time since magnetic resonance imaging (MRI) was born it has gained surprisingly rapid and enthusiastic acceptance and has speedily proliferated, particularly in the United States and Western Europe. Magnetic resonance imaging (MRI) has successfully challenged computed tomography (CT) in all areas of the body where respiratory motion does not degrade the image (Steinberg, 1986). Newer techniques using a multiplicity of approaches are starting to close the gap between CT and MRI, even in the upper abdomen where the effects of respiratory motion are most pronounced. Although MR is already widely clinically applied and is an accepted everyday diagnostic modality in most large medical centres in the United States, it is not a mature modality. It is rapidly evolving, with whole new areas opening to investigation which will vastly broaden its applications.

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Wright, Graham A., Philippa R. P. Krahn, and Benedict M. Glover. "Magnetic Resonance Imaging." JACC: Clinical Electrophysiology 5, no. 1 (January 2019): 101–3. http://dx.doi.org/10.1016/j.jacep.2018.11.014.

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Aoyagi, Kota. "MEDICAL IMAGING APPARATUS, ULTRASONIC IMAGING APPARATUS, MAGNETIC RESONANCE IMAGING APPARATUS, MEDICAL IMAGE PROCESSING APPARATUS, AND MEDICAL IMAGE PROCESSING METHOD." Journal of the Acoustical Society of America 133, no. 5 (2013): 3220. http://dx.doi.org/10.1121/1.4803793.

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Katscher, Ulrich, and Peter Börnert. "Parallel magnetic resonance imaging." Neurotherapeutics 4, no. 3 (July 2007): 499–510. http://dx.doi.org/10.1016/j.nurt.2007.04.011.

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Denis de Senneville, B., B. Quesson, and C. T. W. Moonen. "Magnetic resonance temperature imaging." International Journal of Hyperthermia 21, no. 6 (September 2005): 515–31. http://dx.doi.org/10.1080/02656730500133785.

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Chauveau, F., T. H. Cho, Y. Berthezène, N. Nighoghossian, and M. Wiart. "Imaging inflammation in stroke using magnetic resonance imaging." Int. Journal of Clinical Pharmacology and Therapeutics 48, no. 11 (November 1, 2010): 718–28. http://dx.doi.org/10.5414/cpp48718.

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Dissertations / Theses on the topic "Medical resonance imaging"

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

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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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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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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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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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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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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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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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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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Books on the topic "Medical resonance imaging"

Kahn, Thomas. Interventional Magnetic Resonance Imaging. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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Clinical applications of medical imaging. New York: Plenum Medical Book Co., 1986.

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H, Burdette Jonathan, ed. Questions & answers in magnetic resonance imaging. 2nd ed. St. Louis: Mosby, 2001.

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Vlaardingerbroek, Marinus T. Magnetic Resonance Imaging: Theory and Practice. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999.

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Physical principles of medical imaging. Rockville, Md: Aspen Publishers, 1987.

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Vlaardingerbroek, Marinus T. Magnetic Resonance Imaging: Theory and Practice. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003.

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Questions and answers in magnetic resonance imaging. St. Louis, Mo: Mosby, 1994.

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Valk, J. Magnetic resonance in dementia. Berlin: Springer, 2002.

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Physical principles of medical imaging. 2nd ed. Madison, Wis: Medical Physics Pub., 1995.

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Physical principles of medical imaging. 2nd ed. Gaithersburg, Md: Aspen Publishers, 1993.

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Book chapters on the topic "Medical resonance imaging"

Hwang, Sinchun, and David M. Panicek. "Imaging Techniques: Magnetic Resonance Imaging." In Medical Radiology, 31–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-77984-1_3.

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Keevil, Stephen, and Renata Longo. "Magnetic Resonance Imaging." In Introduction to Medical Physics, 173–234. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9780429155758-7.

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Nitz, Wolfgang R. "Magnetic Resonance Imaging." In Springer Handbook of Medical Technology, 439–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-540-74658-4_23.

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Chowdhury, Alimul. "Magnetic Resonance Imaging Physics." In Practical Medical Physics, 25–49. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781315142425-2-3.

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Jan, Jiří. "Magnetic Resonance Imaging." In Medical Image Processing, Reconstruction and Analysis, 131–82. Other titles: Medical image processing, reconstruction, and restoration Description: Second edition. | Boca Raton: CRC Press, 2019. | Preceded by Medical image processing, reconstruction, and restoration/Jiří Jan.2006.: CRC Press, 2019. http://dx.doi.org/10.1201/b22391-7.

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Ng, Kwan Hoong, Jeannie Hsiu Ding Wong, and Geoffrey D. Clarke. "Magnetic Resonance Imaging." In Problems and Solutions in Medical Physics, 95–118. Boca Raton, FL : CRC Press, Taylor & Francis Group, [2018]- | Series: Series in medical physics and biomedical engineering: CRC Press, 2018. http://dx.doi.org/10.1201/9781351006781-9.

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Chappell, Michael. "Resonance—Nuclear Magnetic Resonance." In Principles of Medical Imaging for Engineers, 39–52. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30511-6_5.

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Sappey-Marinier, Dominique, and André Briguet. "Magnetic Resonance Imaging." In Medical Imaging Based on Magnetic Fields and Ultrasounds, 73–262. Hoboken, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118761236.ch2.

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Gopi, E. S. "Magnetic Resonance Imaging." In Digital Signal Processing for Medical Imaging Using Matlab, 27–47. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3140-4_2.

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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 "Medical resonance imaging"

Othman, Shadi F., Huihui Xu, Thomas J. Royston, and Richard L. Magin. "Microscopic magnetic resonance elastography (μMRE) applications." In Medical Imaging, edited by Amir A. Amini and Armando Manduca. SPIE, 2005. http://dx.doi.org/10.1117/12.595691.

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Eggers, Georg, Bodo Kress, Jochen Fiebach, Marcus Rieker, Doreen Spitzenberg, Rüdiger Marmulla, Hartmut Dickhaus, and Joachim Mühling. "Magnetic resonance imaging for image-guided implantology." In Medical Imaging, edited by Kevin R. Cleary and Robert L. Galloway, Jr. SPIE, 2006. http://dx.doi.org/10.1117/12.652195.

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Izard, Camille, Bruno M. Jedynak, and Craig E. L. Stark. "Automatic landmarking of magnetic resonance brain images." In Medical Imaging, edited by J. Michael Fitzpatrick and Joseph M. Reinhardt. SPIE, 2005. http://dx.doi.org/10.1117/12.594667.

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Sensakovic, William F., Samuel G. Armato III, and Adam Starkey. "Automated lung segmentation in magnetic resonance images." In Medical Imaging, edited by J. Michael Fitzpatrick and Joseph M. Reinhardt. SPIE, 2005. http://dx.doi.org/10.1117/12.595973.

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Soumekh, Mehrdad. "Spatiotemporal spiral magnetic resonance imaging." In Medical Imaging '99, edited by John M. Boone and James T. Dobbins III. SPIE, 1999. http://dx.doi.org/10.1117/12.349564.

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Carlson, Joseph W., Larry E. Crooks, M. Arakawa, D. M. Goldhaber, David M. Kramer, and Leon Kaufman. "Switched-field magnetic resonance imaging." In Medical Imaging VI, edited by Rodney Shaw. SPIE, 1992. http://dx.doi.org/10.1117/12.59381.

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Kramer, David M., John Coleman, Leon Kaufman, and Leila D. Mattinger. "Variable-parameter magnetic resonance imaging." In Medical Imaging VI, edited by Rodney Shaw. SPIE, 1992. http://dx.doi.org/10.1117/12.59380.

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Lu, Yao, Dee Wu, and Vincent A. Magnotta. "Partial volume correction of magnetic resonance spectroscopic imaging." In Medical Imaging, edited by Josien P. W. Pluim and Joseph M. Reinhardt. SPIE, 2007. http://dx.doi.org/10.1117/12.706903.

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Viswanath, Satish, Pallavi Tiwari, Mark Rosen, and Anant Madabhushi. "A meta-classifier for detecting prostate cancer by quantitative integration of in vivo magnetic resonance spectroscopy and magnetic resonance imaging." In Medical Imaging, edited by Maryellen L. Giger and Nico Karssemeijer. SPIE, 2008. http://dx.doi.org/10.1117/12.771022.

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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.

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Reports on the topic "Medical resonance imaging"

Diegert, C. Innovative computing for diagnoses from medical, magnetic-resonance imaging. Office of Scientific and Technical Information (OSTI), January 1997. http://dx.doi.org/10.2172/477671.

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Cox, M. G., K. Jagan, and S. Rajan. Statistical analysis of temperature rise in passive medical implants in a magnetic resonance imaging environment. National Physical Laboratory, April 2021. http://dx.doi.org/10.47120/npl.ms28.

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Thomas Austin, Evan, Paul Kang, Chinedu Mmeje, Joseph Mashni, Mark Brenner, Phillip Koo, and John C Chang. Validation of PI-RADS v2 Scores at Various Non-University Radiology Practices. Science Repository, December 2021. http://dx.doi.org/10.31487/j.aco.2021.02.02.

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Purpose: The purpose of this study was to validate the second version of the Prostate Imaging Reporting and Data System (PI-RADSv2) scores in predicting positive in-bore MRI-guided targeted prostate biopsy results across different non-university related institutions. The study focuses on PI-RADS v2 scoring because during the study period, PI-RADS v2.1 had not been released. Materials and Methods: This was a retrospective review of 147 patients who underwent multiparametric magnetic resonance imaging (mpMRI) of the pelvis followed by in-bore MRI-guided targeted prostate biopsy from December 2014 to May 2018. All lesions on mpMRI were rated according to PI-RADS v2 criteria. PI-RADS v2 scores were then compared to MR-guided biopsy results and pre-biopsy PSA values. Results: Prostate Cancer (PCa) was detected in 54% (80/147) of patients, with more prostate cancer being detected with each subsequent increase in PI-RADS scores. Specifically, biopsy results in patients with PI-RADS 3, 4, and 5 lesions resulted in PCa in 25.6% (10/39), 58.1% (33/55), and 86.0% (37/43) respectively. Clinically significant PCa (Gleason score ≥7) was detected in 17.9% (7/39), 52.7% (29/55), and 72% (31/43) of cases for PI-RADS 3, 4, and 5 lesions respectively. When the PI-RADS scoring and biopsy results were compared across different institutions, there was no difference in the PI-RADS scoring of lesions or in the positive biopsy rates of the lesions. The sensitivity, specificity, PPV, and NPV for PI-RADS 3-4 lesions were also not statistically different across the institutions for detecting Gleason 7 or greater lesions. Conclusion: Our results agree with prior studies that higher PI-RADS scores are associated with the presence of clinically significant PCa and suggest prostate lesions with PI-RADS scores 3-5 have sufficient evidence to warrant targeted biopsy. The comparison of PI-RADS score across different types of non-university practices revealed no difference in scoring and biopsy outcome, suggesting that PI-RADS v2 can be easily applied outside of the university medical center setting. Clinical Relevance: PI-RADS v2 can be applied homogeneously in the non-university setting without significant difference in outcome.

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Seymour, Joseph D. Resolving the Impact of Biological Processes on Water Transport in Unsaturated Porous Media Through Nuclear Magnetic Resonance Micro-Imaging. Office of Scientific and Technical Information (OSTI), June 2005. http://dx.doi.org/10.2172/895764.

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