Relevant bibliographies by topics / Diffusion MR Imaging

Contents

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

Academic literature on the topic 'Diffusion MR Imaging'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Diffusion MR Imaging"

1

de Figueiredo, Eduardo H. M. S. G., Arthur F. N. G. Borgonovi, and Thomas M. Doring. "Basic Concepts of MR Imaging, Diffusion MR Imaging, and Diffusion Tensor Imaging." Magnetic Resonance Imaging Clinics of North America 19, no. 1 (2011): 1–22. http://dx.doi.org/10.1016/j.mric.2010.10.005.

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Ramsing, B., and P. Corr. "Diffusion weighted MR imaging." South African Journal of Radiology 3, no. 3 (1998): 4–6. http://dx.doi.org/10.4102/sajr.v3i3.1570.

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Diffusion weighted imaging (DWI) allows the measurement of molecular motion in tissue. This technique has significant clinical applications. Recent technological developments in fast MR imaging have brought diffusion imaging into clinical practice. This review will explain the physical principles, and current and future potential applications of diffusion imaging in medicine.
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Rovaris, Marco, Federica Agosta, Elisabetta Pagani, and Massimo Filippi. "Diffusion Tensor MR Imaging." Neuroimaging Clinics of North America 19, no. 1 (2009): 37–43. http://dx.doi.org/10.1016/j.nic.2008.08.001.

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Mutlu, H., H. O. Sildiroglu, G. Sonmez, E. Ozturk, and E. Kizilkaya. "Neuroaxonal dystrophy: MR imaging, proton MR spectroscopy, and diffusion MR imaging findings." Journal of Neuroradiology 33, no. 3 (2006): 207–8. http://dx.doi.org/10.1016/s0150-9861(06)77546-0.

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Kim, Hyun Jeong, Choong Gon Choi, Jeong Hyun Lee, et al. "Brain Diffusion Tensor MR Imaging." Journal of the Korean Radiological Society 53, no. 4 (2005): 233. http://dx.doi.org/10.3348/jkrs.2005.53.4.233.

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Le Bihan, D., R. Turner, P. Douek, and N. Patronas. "Diffusion MR imaging: clinical applications." American Journal of Roentgenology 159, no. 3 (1992): 591–99. http://dx.doi.org/10.2214/ajr.159.3.1503032.

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Yang, Edward, Paolo G. Nucifora, and Elias R. Melhem. "Diffusion MR Imaging: Basic Principles." Neuroimaging Clinics of North America 21, no. 1 (2011): 1–25. http://dx.doi.org/10.1016/j.nic.2011.02.001.

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Scarabino, T., F. Nemore, F. Esposito, et al. "3.0 T Diffusion MR Imaging." Rivista di Neuroradiologia 17, no. 6 (2004): 795–806. http://dx.doi.org/10.1177/197140090401700609.

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Corr, P., J. Keiseb, J. Moodley, C. Sanyika, M. Hoffmann, and A. Mayat. "Diffusion MR Imaging of Eclampsia." Rivista di Neuroradiologia 11, no. 2_suppl (1998): 167–69. http://dx.doi.org/10.1177/19714009980110s248.

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King, M. D., N. Van Bruggen, A. L. Busza, J. Houseman, S. R. Williams, and D. G. Gadian. "Perfusion and diffusion MR imaging." Magnetic Resonance in Medicine 24, no. 2 (1992): 288–301. http://dx.doi.org/10.1002/mrm.1910240210.

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Dissertations / Theses on the topic "Diffusion MR Imaging"

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Skare, Stefan. "Optimisation strategies in diffusion tensor MR imaging /." Stockholm, 2002. http://diss.kib.ki.se/2002/91-7349-175-6.

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Candrák, Matúš. "Zpracování difuzně vážených obrazů pořízených MR tomografem." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2014. http://www.nusl.cz/ntk/nusl-220983.

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The semester thesis describes the basic principles of MRI, methods for measuring diffusion coefficients and creating DWI and DTI images. As a result a practical implementation of program was implemented in Matlab, based on theoretical knowledge of the problem.
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Bai, Y. "Correcting for motion between acquisitions in diffusion MR imaging." Thesis, University College London (University of London), 2009. http://discovery.ucl.ac.uk/18690/.

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The diffusion tensor (DT) and other diffusion models assume that each voxel corresponds to the same anatomical location in all the measurements. Movements and distortions violate this assumption and typically the images are realigned before model fitting. We propose a set of model-based methods to improve motion correction and avoid the errors that the traditional method introduces. The new methods are based on a three-step procedure to register DWI datasets, and use different reference images for DWIs with different gradient directions for registration, so the registrations take into account
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MacGillivray, Cathy Carleton University Dissertation Physics. "Diffusion-weighted MR imaging of moving structures using a three echo navigator imaging technique." Ottawa, 1996.

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Domenig, Claudia. "Development and evaluation of MR imaging techniques for quantitative diffusion imaging of the human pelvis." Thesis, University of Surrey, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.273242.

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Kerttula, L. (Liisa). "Magnetic resonance imaging of the intervertebral disc:post-traumatic findings and the value of diffusion-weighted MR imaging." Doctoral thesis, University of Oulu, 2001. http://urn.fi/urn:isbn:9514264711.

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Abstract Magnetic resonance imaging (MRI) provides important information about structural and biochemical changes in organs. MRI is also an effective imaging method for the evaluation of spinal disorders. However, many of its potential applications - particularly diffusion imaging - have not yet been thoroughly explored. The purpose of this study was to determine the MRI-detectable changes in the intervertebral disc after trauma and to test the feasibility of diffusion-weighted MR imaging of the intervertebral discs. A minipig model was used in the experimental study to determine the MRI c
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Gong, Nanjie, and 龔南杰. "Probing tissue microstructural changes in neurodegenerative processes using non-gaussian diffusion MR imaging." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/208583.

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Development of non-invasive imaging biomarkers sensitive to microstructural organization is crucial for deepening our understanding of mechanisms underlying neurodegenerative processes such as aging and further improving early diagnosis and monitoring of neurodegenerative disease such as Alzheimer’s disease (AD) and amnestic mild cognitive impairment (MCI). The diffusional kurtosis imaging (DKI) is an extension of conventional diffusion tensor imaging. It is hypothesized that DKI will provide complementary information to conventional diffusivity metrics in a new dimension that will more compre
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Coope, David John. "Use of [11C]-methionine PET and diffusion-/perfusion-weighted MR imaging in gliomas." Thesis, University of Manchester, 2010. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:207525.

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Introduction: Low-grade gliomas are a sub-group of primary brain tumours that typically affect young adults and which present specific challenges to conventional diagnostic imaging. They demonstrate a pattern of growth whereby tumour cells infiltrate healthy brain tissue without distortion of the surrounding brain or blood-brain barrier integrity. These features limit the capacity of conventional neuro-imaging strategies to effectively delineate the tumour extent or characterise the degree of 'malignancy'. One solution is to apply multiple imaging modalities to image different aspects of the t
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Tamai, Ken. "The utility of diffusion-weighted MR imaging in the diagnosis of uterine malignancy." Kyoto University, 2008. http://hdl.handle.net/2433/135802.

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Iima, Mami. "Apparent Diffusion Coefficient as an MR Imaging Biomarker of Low-Risk Ductal Carcinoma in Situ: A Pilot Study." Kyoto University, 2014. http://hdl.handle.net/2433/188640.

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Books on the topic "Diffusion MR Imaging"

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Koh, D. M., and H. C. Thoeny, eds. Diffusion-Weighted MR Imaging. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-78576-7.

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Moritani, Toshio, Sven Ekholm, and Per-Lennart Westesson. Diffusion-Weighted MR Imaging of the Brain. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-78785-3.

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Moritani, Toshio, and Aristides A. Capizzano, eds. Diffusion-Weighted MR Imaging of the Brain, Head and Neck, and Spine. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62120-9.

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Clinical MR neuroimaging: Physiological and functional techniques. 2nd ed. Cambridge University Press, 2010.

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Moritani, T., S. Ekholm, and P. L. Westesson. Diffusion-Weighted MR Imaging of the Brain. Springer, 2005.

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Moritani, Toshio, Sven Ekholm, and Per-Lennart A. Westesson. Diffusion-Weighted MR Imaging of the Brain. Springer, 2010.

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P. -L Westesson,T. Moritani,S. Ekholm. Diffusion-Weighted MR Imaging of the Brain. Springer, 2009.

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P. -L Westesson,T. Moritani,S. Ekholm. Diffusion-Weighted MR Imaging of the Brain. Springer, 2008.

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9

Moritani, T., S. Ekholm, and P. L. Westesson. Diffusion-Weighted MR Imaging of the Brain. Springer London, Limited, 2005.

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Diffusion-Weighted MR Imaging of the Brain. Springer-Verlag, 2005. http://dx.doi.org/10.1007/b137507.

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Book chapters on the topic "Diffusion MR Imaging"

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Tsougos, Ioannis. "Diffusion MR Imaging." In Advanced MR Neuroimaging. CRC Press, 2017. http://dx.doi.org/10.1201/9781351216548-1.

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Tam, Henry H., and Dow-Mu Koh. "Diffusion-Weighted MR Imaging." In Functional Imaging in Oncology. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40412-2_14.

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Hajnal, J. V., and G. M. Bydder. "MR Imaging of Diffusion." In Magnetic Resonance Scanning and Epilepsy. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2546-2_50.

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Runge, Val M., and Johannes T. Heverhagen. "Diffusion Tensor Imaging." In The Physics of Clinical MR Taught Through Images. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-85413-3_68.

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Runge, Val M., and Johannes T. Heverhagen. "Diffusion-Weighted Imaging." In The Physics of Clinical MR Taught Through Images. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-85413-3_66.

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

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Karaosmanoğlu, Ali Devrim, Musturay Karcaaltıncaba, Mustafa N. Özmen, and Deniz Akata. "MR Imaging of Ovarian Masses." In Diffusion Weighted Imaging of the Genitourinary System. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-69575-4_5.

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Benner, Thomas, Ruopeng Wang, and J. Van Wedeen. "Diffusion Tensor Imaging of the Brain." In Parallel Imaging in Clinical MR Applications. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-68879-2_34.

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Soto, Jorge A., German A. Castrillon, Stephan Anderson, and Nagaraj Holalkere. "Diffusion-Weighted MR Imaging of the Pancreas." In Diffusion MRI Outside the Brain. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21052-5_6.

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Berman, Jeffrey I. "Advanced Diffusion MR Tractography for Surgical Planning." In Functional Brain Tumor Imaging. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-5858-7_11.

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Conference papers on the topic "Diffusion MR Imaging"

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Zhong, Junmei, Bernard Dardzinski, Scott Holland, Janaka Wansapura, and Vincent Schmithorst. "Wavelet-based multiscale anisotropic diffusion for MR imaging." In Medical Imaging, edited by J. Michael Fitzpatrick and Joseph M. Reinhardt. SPIE, 2005. http://dx.doi.org/10.1117/12.594829.

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Li, Wu, and Jie Tian. "Automatic segmentation of brain infarction in diffusion-weighted MR images." In Medical Imaging 2003, edited by Milan Sonka and J. Michael Fitzpatrick. SPIE, 2003. http://dx.doi.org/10.1117/12.481350.

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Caruyer, Emmanuel, and Rachid Deriche. "Optimal regularization for MR diffusion signal reconstruction." In 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012). IEEE, 2012. http://dx.doi.org/10.1109/isbi.2012.6235481.

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Li, Wu, Jie Tian, and Jianping Dai. "Automatic segmentation of cerebral ischemic lesions from diffusion tensor MR images." In Medical Imaging 2004, edited by J. Michael Fitzpatrick and Milan Sonka. SPIE, 2004. http://dx.doi.org/10.1117/12.536007.

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Prima, Sylvain, and Nicolas Wiest-Daesslé. "Computation of the mid-sagittal plane in diffusion tensor MR brain images." In Medical Imaging, edited by Josien P. W. Pluim and Joseph M. Reinhardt. SPIE, 2007. http://dx.doi.org/10.1117/12.709467.

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Wu, Y., E. X. Wu, K. K. Wong, et al. "Myocardial Fiber Length Mapping with MR Diffusion Tensor Imaging." In 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference. IEEE, 2005. http://dx.doi.org/10.1109/iembs.2005.1616118.

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Ceranka, Jakub, Mathias Polfliet, Frederic Lecouvet, Nicolas Michoux, and Jef Vandemeulebroucke. "Whole-body diffusion-weighted MR image stitching and alignment to anatomical MRI." In SPIE Medical Imaging, edited by Martin A. Styner and Elsa D. Angelini. SPIE, 2017. http://dx.doi.org/10.1117/12.2253838.

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Shi, Yundi, Gwendoline Roger, Clement Vachet, et al. "Software-based diffusion MR human brain phantom for evaluating fiber-tracking algorithms." In SPIE Medical Imaging, edited by Sebastien Ourselin and David R. Haynor. SPIE, 2013. http://dx.doi.org/10.1117/12.2006113.

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Jha, Abhinav K., Matthew A. Kupinski, Jeffrey J. Rodríguez, Renu M. Stephen, and Alison T. Stopeck. "Evaluating segmentation algorithms for diffusion-weighted MR images: a task-based approach." In SPIE Medical Imaging, edited by David J. Manning and Craig K. Abbey. SPIE, 2010. http://dx.doi.org/10.1117/12.845515.

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Wu, Yin, and Ed X. Wu. "MR Study of Myocardial Fiber Structure Using Diffusion Tensor Imaging." In 2009 2nd International Conference on Biomedical Engineering and Informatics. IEEE, 2009. http://dx.doi.org/10.1109/bmei.2009.5305001.

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