Academic literature on the topic 'White matter diffusion'
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Journal articles on the topic "White matter diffusion"
Thomason, Moriah E., and Paul M. Thompson. "Diffusion Imaging, White Matter, and Psychopathology." Annual Review of Clinical Psychology 7, no. 1 (April 27, 2011): 63–85. http://dx.doi.org/10.1146/annurev-clinpsy-032210-104507.
Full textNørhøj Jespersen, Sune. "White matter biomarkers from diffusion MRI." Journal of Magnetic Resonance 291 (June 2018): 127–40. http://dx.doi.org/10.1016/j.jmr.2018.03.001.
Full textWedeen, V. J., T. L. Davis, B. E. Lautrup, T. G. Reese, and B. R. Rosen. "Diffusion anisotropy and white matter tracts." NeuroImage 3, no. 3 (June 1996): S146. http://dx.doi.org/10.1016/s1053-8119(96)80148-0.
Full textChen, H., and Y. Xu. "Diffusion properties of major white matter tracts in individuals white matter hyperintensity." Journal of the Neurological Sciences 405 (October 2019): 75. http://dx.doi.org/10.1016/j.jns.2019.10.358.
Full textKAMAGATA, KOJI, MASAAKI HORI, KOUHEI KAMIYA, MICHIMASA SUZUKI, AKIRA NISHIKORI, FUMITAKA KUMAGAI, MARIKO YOSHIDA, SHINSUKE KYOGOKU, and SHIGEKI AOKI. "Diffusion MR Imaging of White Matter Pathways." Juntendo Medical Journal 60, no. 2 (2014): 100–106. http://dx.doi.org/10.14789/jmj.60.100.
Full textChoudhri, Asim F., Eric M. Chin, Ari M. Blitz, and Dheeraj Gandhi. "Diffusion Tensor Imaging of Cerebral White Matter." Radiologic Clinics of North America 52, no. 2 (March 2014): 413–25. http://dx.doi.org/10.1016/j.rcl.2013.11.005.
Full textvan der Lei, H. D. W., M. E. Steenweg, M. Bugiani, P. J. W. Pouwels, W. N. van Wieringen, and M. S. van der Knaap. "P18.3 Restricted diffusion in vanishing white matter." European Journal of Paediatric Neurology 15 (May 2011): S105. http://dx.doi.org/10.1016/s1090-3798(11)70363-4.
Full textLazar, Mariana, David M. Weinstein, Jay S. Tsuruda, Khader M. Hasan, Konstantinos Arfanakis, M. Elizabeth Meyerand, Benham Badie, et al. "White matter tractography using diffusion tensor deflection." Human Brain Mapping 18, no. 4 (March 6, 2003): 306–21. http://dx.doi.org/10.1002/hbm.10102.
Full textStoeter, Peter, Paulo Roberto Dellani, and Goran Vucurevic. "Diffusion Tensor Imaging of Cerebral White Matter*." Clinical Neuroradiology 18, no. 3 (August 2008): 155–62. http://dx.doi.org/10.1007/s00062-008-8019-3.
Full textTench, C. R., P. S. Morgan, M. Wilson, and L. D. Blumhardt. "White matter mapping using diffusion tensor MRI." Magnetic Resonance in Medicine 47, no. 5 (April 22, 2002): 967–72. http://dx.doi.org/10.1002/mrm.10144.
Full textDissertations / Theses on the topic "White matter diffusion"
Campbell, Jennifer S. W. "Diffusion imaging of white matter fibre tracts." Thesis, McGill University, 2004. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=85135.
Full textO'Donnell, Lauren Jean. "Cerebral white matter analysis using diffusion imaging." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/35514.
Full textIncludes bibliographical references (p. 183-198).
In this thesis we address the whole-brain tractography segmentation problem. Diffusion magnetic resonance imaging can be used to create a representation of white matter tracts in the brain via a process called tractography. Whole brain tractography outputs thousands of trajectories that each approximate a white matter fiber pathway. Our method performs automatic organization, or segmention, of these trajectories into anatomical regions and gives automatic region correspondence across subjects. Our method enables both the automatic group comparison of white matter anatomy and of its regional diffusion properties, and the creation of consistent white matter visualizations across subjects. We learn a model of common white matter structures by analyzing many registered tractography datasets simultaneously. Each trajectory is represented as a point in a high-dimensional spectral embedding space, and common structures are found by clustering in this space. By annotating the clusters with anatomical labels, we create a model that we call a high-dimensional white matter atlas.
(cont.) Our atlas creation method discovers structures corresponding to expected white matter anatomy, such as the corpus callosum, uncinate fasciculus, cingulum bundles, arcuate fasciculus, etc. We show how to extend the spectral clustering solution, stored in the atlas, using the Nystrom method to perform automatic segmentation of tractography from novel subjects. This automatic tractography segmentation gives an automatic region correspondence across subjects when all subjects are labeled using the atlas. We show the resulting automatic region correspondences, demonstrate that our clustering method is reproducible, and show that the automatically segmented regions can be used for robust measurement of fractional anisotropy.
by Lauren Jean O'Donnell.
Ph.D.
Dhital, Bibek. "Characterizing Brain White Matter with Diffusion-Weighted Magnetic Resonance." Doctoral thesis, Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-180140.
Full textMaddah, Mahnaz. "Quantitative analysis of cerebral white matter anatomy from diffusion MRI." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/45614.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (p. 165-177).
In this thesis we develop algorithms for quantitative analysis of white matter fiber tracts from diffusion MRI. The presented methods enable us to look at the variation of a diffusion measure along a fiber tract in a single subject or a population, which allows important clinical studies toward understanding the relation between the changes in the diffusion measures and brain diseases, development, and aging. The proposed quantitative analysis is performed on a group of fiber trajectories extracted from diffusion MRI by a process called tractography. To enable the quantitative analysis we first need to cluster similar trajectories into groups that correspond to anatomical bundles and to establish the point correspondence between these variable-length trajectories. We propose a computationally-efficient approach to find the point correspondence and the distance between each trajectory to the prototype center of each bundle. Based on the computed distances we also develop a novel model-based clustering of trajectories into anatomically-known fiber bundles. In order to cluster the trajectories, we formulate an expectation maximization algorithm to infer the parameters of the gamma-mixture model that we built on the distances between trajectories and cluster centers. We also extend the proposed clustering algorithm to incorporate spatial anatomical information at different levels through hierarchical Bayesian modeling. We demonstrate the effectiveness of the proposed methods in several clinical applications. In particular, we present our findings in identifying localized group differences in fiber tracts between normal and schizophrenic populations.
by Mahnaz Maddah.
Ph.D.
Piatkowski, Jakub Przemyslaw. "Probing the brain's white matter with diffusion MRI and a tissue dependent diffusion model." Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/8850.
Full textHu, Chengliang. "Inferring cerebral white matter fibres from diffusion tensor magnetic resonance images." Thesis, University of York, 2018. http://etheses.whiterose.ac.uk/22002/.
Full textHorne, Nikki Renee. "Microstructural white matter changes in Alzheimer's disease a diffusion tensor imaging study /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2008. http://wwwlib.umi.com/cr/ucsd/fullcit?p3296903.
Full textTitle from first page of PDF file (viewed April 7, 2008). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 127-149).
Panagiotaki, E. "Geometric models of brain white matter for microstructure imaging with diffusion MRI." Thesis, University College London (University of London), 2011. http://discovery.ucl.ac.uk/1310435/.
Full textBertò, Giulia. "Supervised Learning for White Matter Bundle Segmentation." Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/264971.
Full textSprooten, Emma. "Genetic determinants of white matter integrity in bipolar disorder." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/6482.
Full textBooks on the topic "White matter diffusion"
L, Ulmer John, ed. White matter in cognitive neuroscience: Advances in diffusion tensor imaging and its applications. New York: New York Academy of Sciences, 2005.
Find full textPassaro, Antony, Foteini Christidi, Vasiliki Tsirka, and Andrew C. Papanicolaou. White Matter Connectivity. Edited by Andrew C. Papanicolaou. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199764228.013.5.
Full textWilde, Elisabeth A., Kareem W. Ayoub, and Asim F. Choudhri. Diffusion Tensor Imaging. Edited by Andrew C. Papanicolaou. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199764228.013.10.
Full textCooley's Anemia Symposium 2005 Lake Buen and Elliott P. Vichinsky. White Matter in Cognitive Neurosciences (Annals of the New York Academy of Sciences). New York Academy of Sciences, 2006.
Find full textMoseley, Michael, John Gabrieli, and Lawrence Parsons. White Matter in Cognitive Neuroscience: Advances in Diffusion Tensor Imaging and Its Applications (Annals of the New York Academy of Sciences). Blackwell Publishing Limited, 2005.
Find full textBoedhoe, Premika S. W., and Odile A. van den Heuvel. The Structure of the OCD Brain. Edited by Christopher Pittenger. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228163.003.0023.
Full textPapanicolaou, Andrew C., ed. The Oxford Handbook of Functional Brain Imaging in Neuropsychology and Cognitive Neurosciences. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199764228.001.0001.
Full textUssishkin, Daniel. New Wars. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190469078.003.0005.
Full textArthur, Richard T. W. Passive Force and Corporeal Substance. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198812869.003.0007.
Full textHarding, Dennis. Rewriting History. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198817734.001.0001.
Full textBook chapters on the topic "White matter diffusion"
Stieltjes, Bram. "Normal Diffusion Tensor Imaging-Based White Matter Anatomy." In Diffusion Tensor Imaging, 231–71. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3118-7_12.
Full textChamberland, Maxime, Samuel St-Jean, Chantal M. W. Tax, and Derek K. Jones. "Obtaining Representative Core Streamlines for White Matter Tractometry of the Human Brain." In Computational Diffusion MRI, 359–66. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05831-9_28.
Full textKuijf, Hugo J., Chantal M. W. Tax, L. Karlijn Zaanen, Willem H. Bouvy, Jeroen de Bresser, Alexander Leemans, Max A. Viergever, Geert Jan Biessels, and Koen L. Vincken. "The Added Value of Diffusion Tensor Imaging for Automated White Matter Hyperintensity Segmentation." In Computational Diffusion MRI, 45–53. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11182-7_5.
Full textMoreno, Gali Zimmerman, Guy Alexandroni, Nir Sochen, and Hayit Greenspan. "Sparse Representation for White Matter Fiber Compression and Calculation of Inter-Fiber Similarity." In Computational Diffusion MRI, 133–43. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54130-3_11.
Full textMoreno, Gali Zimmerman, Guy Alexandroni, and Hayit Greenspan. "White Matter Fiber Set Simplification by Redundancy Reduction with Minimum Anatomical Information Loss." In Computational Diffusion MRI, 171–82. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28588-7_15.
Full textChamberland, Maxime, Mia Winter, Thomas A. W. Brice, Derek K. Jones, and Emma C. Tallantyre. "Beyond Lesion-Load: Tractometry-Based Metrics for Characterizing White Matter Lesions within Fibre Pathways." In Computational Diffusion MRI, 227–37. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73018-5_18.
Full textTax, Chantal M. W., Elena Kleban, Muhamed Baraković, Maxime Chamberland, and Derek K. Jones. "Magnetic Resonance Imaging of $$T_2$$- and Diffusion Anisotropy Using a Tiltable Receive Coil." In Mathematics and Visualization, 247–62. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-56215-1_12.
Full textAarabi, Mohammad Hadi, and Hamid Saligheh Rad. "Diffusion-Map: A Novel Visualizing Biomarker for Diffusion Tensor Imaging of Human Brain White Matter." In Computational Diffusion MRI, 65–77. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11182-7_7.
Full textDolatshahi, Mahsa, Farzaneh Rahmani, Mohammad Hadi Shadmehr, Timm Peoppl, Ahmad Shojaie, Farsad Noorizadeh, Mohammad Hadi Aarabi, and Somayeh Mohammadi Jooyandeh. "Working Memory Function in Recent-Onset Schizophrenia Patients Associated with White Matter Microstructure: Connectometry Approach." In Computational Diffusion MRI, 201–9. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54130-3_17.
Full textYin, Haoran, Pengbo Xu, Hui Cui, Geng Chen, and Jiquan Ma. "DC$$^2$$U-Net: Tract Segmentation in Brain White Matter Using Dense Criss-Cross U-Net." In Computational Diffusion MRI, 115–24. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-21206-2_10.
Full textConference papers on the topic "White matter diffusion"
Descoteaux, Maxime, Christophe Lenglet, and Rachid Deriche. "Diffusion tensor sharpening improves white matter tractography." In Medical Imaging, edited by Josien P. W. Pluim and Joseph M. Reinhardt. SPIE, 2007. http://dx.doi.org/10.1117/12.708988.
Full textVidotto, Marco, Daniele Dini, and Elena De Momi. "Effective Diffusion and Tortuosity in Brain White Matter." In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2018. http://dx.doi.org/10.1109/embc.2018.8513443.
Full textBehjat, Hamid, Iman Aganj, David Abramian, Anders Eklund, and Carl-Fredrik Westin. "Characterization Of Spatial Dynamics Of Fmri Data In White Matter Using Diffusion-Informed White Matter Harmonics." In 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI). IEEE, 2021. http://dx.doi.org/10.1109/isbi48211.2021.9433958.
Full textDi, Qian, Tingting Wang, Li Yao, and XiaoJie Zhao. "White Matter Fiber Tracts Based On Diffusion Tensor Imaging." In 2008 Fourth International Conference on Natural Computation. IEEE, 2008. http://dx.doi.org/10.1109/icnc.2008.819.
Full textWu, Zhanxiong, and Xun Li. "Tacking of white matter fiber bindles based on diffusion QBI." In 2014 IEEE Workshop on Electronics, Computer and Applications (IWECA). IEEE, 2014. http://dx.doi.org/10.1109/iweca.2014.6845756.
Full textLv, Yu-ting, Xu-feng Yao, Xi-xi Bu, Song Xu, and Gang Huang. "Evaluation of Diffusion Tensor White Matter Network of Alzheimer’s Disease." In 2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). IEEE, 2021. http://dx.doi.org/10.1109/iaeac50856.2021.9390844.
Full textAranda, Ramon, Mariano Rivera, and Alonso Ramirez-Manzanares. "Self-oriented Diffusion Basis Functions for white matter structure estimation." In 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013). IEEE, 2013. http://dx.doi.org/10.1109/isbi.2013.6556680.
Full textWang, Xizhen, Shanshan Gao, Shuai Wang, Hongwei Sun, Yanyu Wang, Nengzhi Jiang, and Guohua Xie. "First-episode depression: Diffusion tensor imaging of deep white matter." In 2014 2nd International Conference on Systems and Informatics (ICSAI). IEEE, 2014. http://dx.doi.org/10.1109/icsai.2014.7009413.
Full textIngalhalikar, Madhura A., Nancy C. Andreasen, Jinsuh Kim, Andrew L. Alexander, and Vincent A. Magnotta. "White matter degeneration in schizophrenia: a comparative diffusion tensor analysis." In SPIE Medical Imaging, edited by Benoit M. Dawant and David R. Haynor. SPIE, 2010. http://dx.doi.org/10.1117/12.844283.
Full textTsao, Sinchai, Niharika Gajawelli, Darryl H. Hwang, Stephen Kriger, Meng Law, Helena Chui, Michael Weiner, and Natasha Lepore. "Mapping of ApoE4 related white matter damage using diffusion MRI." In SPIE Medical Imaging, edited by Maria Y. Law and Tessa S. Cook. SPIE, 2014. http://dx.doi.org/10.1117/12.2043925.
Full textReports on the topic "White matter diffusion"
Little, Deborah M. High Resolution Diffusion Tensor Imaging of Cortical-Subcortical White Matter Tracts in TBI. Fort Belvoir, VA: Defense Technical Information Center, October 2009. http://dx.doi.org/10.21236/ada513063.
Full textLittle, Deborah M. High Resolution Diffusion Tensor Imaging of Cortical-Subcortical White Matter Tracts in TBI. Fort Belvoir, VA: Defense Technical Information Center, October 2010. http://dx.doi.org/10.21236/ada549548.
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