Готові списки джерел за темами / Magnetic resonance imaging

Добірка наукової літератури з теми "Magnetic resonance imaging"

Автор: Grafiati
Опубліковано: 4 червня 2021
Оновлено: 31 липня 2024

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Статті в журналах з теми "Magnetic resonance imaging"

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Yılmaz, Güliz, Işıl Başara, Gülgün Yılmaz Ovalı, Serdar Tarhan, Yüksel Pabuşcu, and Hatice Mavioğlu. "Magnetic resonance imaging findings of Susac syndrome." Cumhuriyet Medical Journal 36, no. 1 (March 28, 2014): 96–100. http://dx.doi.org/10.7197/1305-0028.1215.

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2

Dilbar, Khodjieva. "Magnetic Resonance Imaging of Cerebral Hemorrhagic Stroke." International Journal of Psychosocial Rehabilitation 24, no. 02 (February 20, 2020): 434–38. http://dx.doi.org/10.37200/ijpr/v24i2/pr200354.

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3

Adityan, R. "Functional Magnetic Resonance Imaging - An Insight into the Imaging Trends." International Journal of Science and Research (IJSR) 12, no. 9 (September 5, 2023): 1662–78. http://dx.doi.org/10.21275/sr23919100937.

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4

Kikuchi, Hiroyuki, Toshiyuki Kikuchi, Hiroshi Yamamoto, Toru Nagashima, and Kaichi Isono. "Magnetic resonance imaging for biliary cancer." Japanese Journal of Gastroenterological Surgery 25, no. 3 (1992): 938. http://dx.doi.org/10.5833/jjgs.25.938.

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5

Jackson, A., S. Stivaros, and E. A. Moore. "Advances in magnetic resonance imaging." Imaging 18, no. 2 (June 2006): 97–109. http://dx.doi.org/10.1259/imaging/23676768.

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MCDONALD, S. M., and J. L. TEH. "Magnetic resonance imaging of scoliosis." Imaging 22, no. 1 (May 2013): 61549422. http://dx.doi.org/10.1259/imaging/61549422.

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VAN BEEK, E. J. R., V. TCHATALBACHEV, and J. M. WILD. "Lung magnetic resonance imaging – an update." Imaging 20, no. 4 (December 2008): 264–77. http://dx.doi.org/10.1259/imaging/63202218.

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8

Gentile, Julie P. "Reactive Lymphadenopathy: Triggering False Positives on Magnetic Resonance Imaging." Journal of Quality in Health Care & Economics 5, no. 3 (2022): 1–3. http://dx.doi.org/10.23880/jqhe-16000270.

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There are numerous etiologies of reactive lymphadenopathy on radiological imaging. Lymph node evaluation is critical for screening high risk patients for new pathology, and for the planning of systemic chemotherapy and radiation therapy. Although ultrasonography (US) is useful for screening and staging illness, it is not completely reliable. In addition to being subjective, there is also poor accessibility of deeply located lymph nodes. Breast Magnetic Resonance Imaging (MRI) offers the advantages of provision of a larger field of view, increased capability of comparison of right and left axillary areas, and increased sensitivity and specificity. It is reported that pandemic H1N1v and seasonal influenza vaccinations cause alteration in fluorodeoxyglucose avidity in positron emission tomography (PET)/CT scans. There were no identified scientific publications documenting the possibility of false positives on MRI due to the Shingrix vaccine, nor any universal recommendations for patients to avoid vaccinations for a specified period of time prior to imaging. The following is a case report of false positive reactive lymphadenopathy found in a healthy patient during breast MRI screening due to high risk status.
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Brody, Alan S., and Charles A. Gooding. "Magnetic Resonance Imaging." Pediatrics In Review 8, no. 3 (September 1, 1986): 87–92. http://dx.doi.org/10.1542/pir.8.3.87.

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Magnetic resonance imaging is the newest of the imaging modalities available for the diagnosis of diseases of children. No ionizing radiation is used and most studies are performed without the administration of contrast material. FUNDAMENTALS OF MAGNETIC RESONANCE IMAGE FORMATION Physics The physics of magnetic resonance imaging is only accurately explained by complex mathematics, but analogy can serve as a rough guide. When placed in a strong magnetic field, atomic nuclei containing odd numbers of protons and neutrons align along the lines of magnetic force. The magnetic fields used are in the range of 6,000 to 15,000 G. (The earth's magnetic field measures 5 G.) Although many kinds of nuclei can be used, current magnetic resonance imaging systems image hydrogen nuclei.
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WATANABE, Hidehiro. "Magnetic Resonance Spectroscopy VI. Magnetic Resonance Imaging." Journal of the Spectroscopical Society of Japan 55, no. 6 (2006): 408–19. http://dx.doi.org/10.5111/bunkou.55.408.

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Дисертації з теми "Magnetic resonance imaging"

1

Lee, Kuan Jin. "Fast magnetic resonance imaging." Thesis, University of Sheffield, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.397487.

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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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Lu, Wenmiao. "Off-resonance correction in magnetic resonance imaging /." May be available electronically:, 2008. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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Manners, David Neil. "Magnetic resonance imaging and magnetic resonance spectroscopy of skeletal muscle." Thesis, University of Oxford, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.269250.

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Petropoulos, Labros Spiridon. "Magnetic field issues in magnetic resonance imaging." Case Western Reserve University School of Graduate Studies / OhioLINK, 1993. http://rave.ohiolink.edu/etdc/view?acc_num=case1060710667.

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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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Lindsay, Alistair. "Magnetic resonance imaging of atherosclerosis." Thesis, University of Oxford, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.526491.

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Glover, Paul Martin. "High field magnetic resonance imaging." Thesis, University of Nottingham, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.335575.

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Yoo, Seung-Schik 1970. "Adaptive functional magnetic resonance imaging." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/70893.

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Анотація:
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Nuclear Engineering, 2000.
Some research performed with the Harvard-M.I.T. Division of Health Sciences and Technology.
Includes bibliographical references (leaves 132-140).
Functional MRI (fMRI) detects the signal associated with neuronal activation, and has been widely used to map brain functions. Locations of neuronal activation are localized and distributed throughout the brain, however, conventional encoding methods based on k-space acquisition have limited spatial selectivity. To improve it, we propose an adaptive fMRI method using non-Fourier, spatially selective RF encoding. This method follows a strategy of zooming into the locations of activation by progressively eliminating the regions that do not show any apparent activation. In this thesis, the conceptual design and implementation of adaptive fMRI are pursued under the hypothesis that the method may provide a more efficient means to localize functional activities with increased spatial or temporal resolution. The difference between functional detection and mapping is defined, and the multi- resolution approach for functional detection is examined using theoretical models simulating variations in both in-plane and through-plane resolution. We justify the multi-resolution approach experimentally using BOLD CNR as a quantitative measure and compare results to those obtained using theoretical models. We conclude that there is an optimal spatial resolution to obtain maximum detection; when the resolution matches the size of the functional activation. We demonstrated on a conventional 1.5-Tesla system that RF encoding provides a simple means for monitoring irregularly distributed slices throughout the brain without encoding the whole volume. We also show the potential for increased signal-to-noise ratio with Hadamard encoding as well as reduction of the in-flow effect with unique design of excitation pulses.
(cont.) RF encoding was further applied in the implementation of real-time adaptive fMRI method, where we can zoom into the user-defined regions interactively. In order to do so, real-time pulse prescription and data processing capabilities were combined with RF encoding. Our specific implementation consisted of five scan stages tailored to identify the volume of interest, and to increase temporal resolution (from 7.2 to 3.2 seconds) and spatial resolution (from 10 mm to 2.5-mm slice thickness). We successfully demonstrated the principle of the multi- resolution adaptive fMRI method in volunteers performing simple sensorimotor paradigms for simultaneous activation of primary motor as well as cerebellar areas.
by Seung-Schik Yoo.
Ph.D.
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10

Eichner, Cornelius. "Slice-Accelerated Magnetic Resonance Imaging." Doctoral thesis, Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-184944.

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This dissertation describes the development and implementation of advanced slice-accelerated (SMS) MRI methods for imaging blood perfusion and water diffusion in the human brain. Since its introduction in 1977, Echo-Planar Imaging (EPI) paved the way toward a detailed assessment of the structural and functional properties of the human brain. Currently, EPI is one of the most important MRI techniques for neuroscientific studies and clinical applications. Despite its high prevalence in modern medical imaging, EPI still suffers from sub-optimal time efficiency - especially when high isotropic resolutions are required to adequately resolve sophisticated structures as the human brain. The utilization of novel slice-acceleration methods can help to overcome issues related to low temporal efficiency of EPI acquisitions. The aim of the four studies outlining this thesis is to overcome current limitations of EPI by developing methods for slice-accelerated MRI. The first experimental work of this thesis describes the development of a slice-accelerated MRI sequence for dynamic susceptibility contrast imaging. This method for assessing blood perfusion is commonly employed for brain tumor classifications in clinical practice. Following up, the second project of this thesis aims to extend SMS imaging to diffusion MRI at 7 Tesla. Here, a specialized acquisition method was developed employing various methods to overcome problems related to increased energy deposition and strong image distortion. The increased energy depositions for slice-accelerated diffusion MRI are due to specific radiofrequency (RF) excitation pulses. High energy depositions can limit the acquisition speed of SMS imaging, if high slice-acceleration factors are employed. Therefore, the third project of this thesis aimed at developing a specialized RF pulse to reduce the amount of energy deposition. The increased temporal efficiency of SMS imaging can be employed to acquire higher amounts of imaging data for signal averaging and more stable model fits. This is especially true for diffusion MRI measurements, which suffer from intrinsically low signal-to-noise ratios. However, the typically acquired magnitude MRI data introduce a noise bias in diffusion images with low signal-to-noise ratio. Therefore, the last project of this thesis aimed to resolve the pressing issue of noise bias in diffusion MRI. This was achieved by transforming the diffusion magnitude data into a real-valued data representation without noise bias. In combination, the developed methods enable rapid MRI measurements with high temporal efficiency. The diminished noise bias widens the scope of applications of slice- accelerated MRI with high temporal efficiency by enabling true signal averaging and unbiased model fits. Slice-accelerated imaging for the assessment of water diffusion and blood perfusion represents a major step in the field of neuroimaging. It demonstrates that cur- rent limitations regarding temporal efficiency of EPI can be overcome by utilizing modern data acquisition and reconstruction strategies.
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Книги з теми "Magnetic resonance imaging"

1

Prasad, Pottumarthi V., ed. Magnetic Resonance Imaging. Totowa, NJ: Humana Press, 2006. http://dx.doi.org/10.1385/1597450103.

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Zuurbier, Ria, Johan Nahuis, Sija Geers-van Gemeren, José Dol-Jansen, and Tom Dam, eds. Magnetic Resonance Imaging. Houten: Bohn Stafleu van Loghum, 2017. http://dx.doi.org/10.1007/978-90-368-1934-3.

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Sigal, Robert, D. Doyon, Ph Halimi, and H. Atlan. Magnetic Resonance Imaging. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-73037-5.

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Brown, Robert W., Yu-Chung N. Cheng, E. Mark Haacke, Michael R. Thompson, and Ramesh Venkatesan, eds. Magnetic Resonance Imaging. Chichester, UK: John Wiley & Sons Ltd, 2014. http://dx.doi.org/10.1002/9781118633953.

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5

Vlaardingerbroek, Marinus T., and Jacques A. den Boer. Magnetic Resonance Imaging. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-662-03800-0.

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Vlaardingerbroek, Marinus T., and Jacques A. den Boer. Magnetic Resonance Imaging. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05252-5.

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Vlaardingerbroek, Marinus T., and Jacques A. den Boer. Magnetic Resonance Imaging. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-662-03258-9.

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8

Ruth, Douglas, Dow Richard, Challen V, POSTRAD, and WIGAN Foundation for Technical Education., eds. Magnetic resonance imaging. Lancaster: POSTRAD inassociation with W.I.G.A.N. Foundation For Technical Education, 1986.

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9

D, Stark David, and Bradley William G, eds. Magnetic resonance imaging. St. Louis: C.V. Mosby Co., 1988.

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10

National Institutes of Health (U.S.), ed. Magnetic resonance imaging. [Bethesda, MD: U.S. Dept. of Health and Human Services, Public Health Service, National Institutes of Health, 1988.

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Частини книг з теми "Magnetic resonance imaging"

1

Zuurbier, Ria. "Parallel imaging." In Magnetic Resonance Imaging, 185–93. Houten: Bohn Stafleu van Loghum, 2017. http://dx.doi.org/10.1007/978-90-368-1934-3_13.

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2

Choo, Yun Song, and Eric Ting. "Imaging: Magnetic Resonance Imaging." In Ocular Adnexal Lesions, 19–23. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3798-7_3.

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Zuurbier, Ria. "Meer dan imaging." In Magnetic Resonance Imaging, 223–32. Houten: Bohn Stafleu van Loghum, 2017. http://dx.doi.org/10.1007/978-90-368-1934-3_16.

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4

Stuber, Matthias. "Coronary artery imaging." In Cardiovascular Magnetic Resonance, 227–40. Heidelberg: Steinkopff, 2004. http://dx.doi.org/10.1007/978-3-7985-1932-9_23.

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5

Vlaardingerbroek, Marinus T., and Jacques A. den Boer. "Conventional Imaging Methods." In Magnetic Resonance Imaging, 55–132. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-662-03800-0_3.

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Vlaardingerbroek, Marinus T., and Jacques A. den Boer. "Conventional Imaging Methods." In Magnetic Resonance Imaging, 55–134. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05252-5_3.

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Vlaardingerbroek, Marinus T., and Jacques A. den Boer. "Conventional Imaging Methods." In Magnetic Resonance Imaging, 45–113. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-662-03258-9_2.

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Bonél, H., and M. Reiser. "Magnetic Resonance Imaging." In Orthopedic Imaging, 53–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-60295-5_4.

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9

Gimi, Barjor. "Magnetic Resonance Microscopy." In Magnetic Resonance Imaging, 59–84. Totowa, NJ: Humana Press, 2006. http://dx.doi.org/10.1385/1-59745-010-3:59.

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Botnar, René M., W. Yong Kim, Elmar Spuentrup, Tim Leiner, George Katsimaglis, Michael T. Johnstone, Matthias Stuber, and Warren J. Manning. "Magnetic resonance imaging of atherosclerosis: classical and molecular imaging." In Cardiovascular Magnetic Resonance, 243–55. Heidelberg: Steinkopff, 2004. http://dx.doi.org/10.1007/978-3-7985-1932-9_24.

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Тези доповідей конференцій з теми "Magnetic resonance imaging"

1

Peters, T. M. "Magnetic resonance imaging and spectroscopy in medicine." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1987. http://dx.doi.org/10.1364/oam.1987.thg3.

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Анотація:
Magnetic resonance techniques were developed in the mid-1940s to analyze the structures of chemical compounds. In the last 10 years, however, the same principles have been evolved, along with advances in magnet, computer, and display technology into one of the most exciting imaging methods available in the medical field today. Magnetic resonance imaging utilizes the property that certain nuclei when placed in a magnetic field can be stimulated into a resonance condition by external radio-frequency radiation. In recovering from this disturbance, the nuclei in turn emit rf signals (whose frequencies depend on the magnetic field strength in which the nuclei are located). To image the human body, the patient is placed in a large solenoidal magnet (field strength typically 0.5-1.5 T), and the magnetic field Is coded in various ways by the application of gradient fields, causing the protons within the volume to resonate with a range of frequencies. Relating these frequencies to positions within this volume is performed by a Fourier analysis of the signal. Reconstructed images are displayed to the user as slices of the 3-D volume being imaged.
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2

Fullerton, Ph.D., Gary D. "Imaging with magnetic resonance." In The fourth mexican symposium on medical physics. AIP, 2000. http://dx.doi.org/10.1063/1.1328942.

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3

Hengerer, A. "Molecular Magnetic Resonance Imaging." In 2nd International University of Malaya Research Imaging Symposium (UMRIS) 2005: Fundamentals of Molecular Imaging. Kuala Lumpur, Malaysia: Department of Biomedical Imaging, University of Malaya, 2005. http://dx.doi.org/10.2349/biij.1.1.e7-53.

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4

Kabir, Irteza Enan, Diego A. Caban-Rivera, Juvenal Ormachea, Kevin J. Parker, Curtis L. Johnson, and Marvin M. Doyley. "Reverberant magnetic resonance elastography." In Physics of Medical Imaging, edited by Rebecca Fahrig, John M. Sabol, and Lifeng Yu. SPIE, 2023. http://dx.doi.org/10.1117/12.2654305.

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Liu, Junyi, Rendong Zhang, Aaron Carass, Curtis Johnson, Jerry Prince, and Ahmed Alshareef A. "Exploratory magnetic resonance elastography synthesis from magnetic resonance and diffusion tensor imaging." In Clinical and Biomedical Imaging, edited by Barjor S. Gimi and Andrzej Krol. SPIE, 2024. http://dx.doi.org/10.1117/12.3008361.

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6

Bajo, A., M. J. Ledesma-Carbayo, C. Santa Marta, E. Perez David, M. A. Garcia-Fernandez, M. Desco, and A. Santos. "Cardiac motion analysis from magnetic resonance imaging: Cine magnetic resonance versus tagged magnetic resonance." In 2007 34th Annual Computers in Cardiology Conference. IEEE, 2007. http://dx.doi.org/10.1109/cic.2007.4745426.

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Schiller, Stephan, and R. L. Byer. "Holeburning Optical Magnetic Resonance Imaging." In Persistent Spectral Hole Burning: Science and Applications. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/pshb.1991.the5.

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Анотація:
Scanning probe microscopy and gradient imaging are two techniques for imaging at sub-wavelength spatial resolution. Gradient imaging in the form of magnetic resonance imaging (MRI) has so far been demonstrated only in the radio- and microwave frequency domains [1]. An extension of MRI to optical frequencies for imaging (semi-) transparent objects is of interest because an optical photon detection process is inherently more sensitive than magnetic induction detection, potentially leading to increased spatial resolution. Rare-earth ions incorporated into a crystalline host are promising as a prototype system for demonstration of high spatial resolution OMRI.
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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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Звіти організацій з теми "Magnetic resonance imaging"

1

Russek, Stephen E. Magnetic Resonance Imaging Biomarker Calibration Service:. Gaithersburg, MD: National Institute of Standards and Technology, 2022. http://dx.doi.org/10.6028/nist.sp.250-100.

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2

Schweizer, M. Developments in boron magnetic resonance imaging (MRI). Office of Scientific and Technical Information (OSTI), November 1995. http://dx.doi.org/10.2172/421332.

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Schmidt, D. M., and M. A. Espy. Low-field magnetic resonance imaging of gases. Office of Scientific and Technical Information (OSTI), November 1998. http://dx.doi.org/10.2172/674672.

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Bronskill, Michael J., Paul L. Carson, Steve Einstein, Michael Koshinen, Margit Lassen, Seong Ki Mun, William Pavlicek, et al. Site Planning for Magnetic Resonance Imaging Systems. AAPM, 1986. http://dx.doi.org/10.37206/19.

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Budakian, Raffi. Nanometer-Scale Force Detected Nuclear Magnetic Resonance Imaging. Fort Belvoir, VA: Defense Technical Information Center, January 2013. http://dx.doi.org/10.21236/ada591583.

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Haslam, Philip. Multiparametric magnetic resonance imaging of the prostate gland. BJUI Knowledge, March 2021. http://dx.doi.org/10.18591/bjuik.0731.

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Bar-Shir, Amnon. Novel molecular architectures for “multicolor” magnetic resonance imaging. The Israel Chemical Society, January 2023. http://dx.doi.org/10.51167/ice000017.

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Haslam, Philip. Multiparametric magnetic resonance imaging of the prostate gland. BJUI knowledge, March 2021. http://dx.doi.org/10.18591/bjuik.0159.v2.

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Schmidt, D. M., J. S. George, S. I. Penttila, and A. Caprihan. Nuclear magnetic resonance imaging with hyper-polarized noble gases. Office of Scientific and Technical Information (OSTI), October 1997. http://dx.doi.org/10.2172/534499.

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Botto, R. E., and G. D. Cody. Magnetic resonance imaging of solvent transport in polymer networks. Office of Scientific and Technical Information (OSTI), February 1995. http://dx.doi.org/10.2172/26588.

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