Diffusion Tensor Imaging (DTI)-based White Matter Mapping in Brain Research: A Review

Abstract

Diffusion tensor imaging (DTI) has become one of the most popular MRI techniques in brain research, as well as in clinical practice. The number of brain studies with DTI is growing steadily and, over the last decade, has produced more than 700 publications. Diffusion tensor imaging enables visualization and characterization of white matter fascicli in two and three dimensions. Since the introduction of this methodology in 1994, it has been used to study the white matter architecture and integrity of the normal and diseased brains (multiple sclerosis, stroke, aging, dementia, schizophrenia, etc.). Although it provided image contrast that was not available with routine MR techniques, unique information on white matter and 3D visualization of neuronal pathways, many questions were raised regarding the origin of the DTI signal. Diffusion tensor imaging is constantly validated, challenged, and developed in terms of acquisition scheme, image processing, analysis, and interpretation. While DTI offers a powerful tool to study and visualize white matter, it suffers from inherent artifacts and limitations. The partial volume effect and the inability of the model to cope with non-Gaussian diffusion are its two main drawbacks. Nevertheless, when combined with functional brain mapping, DTI provides an efficient tool for comprehensive, noninvasive, functional anatomy mapping of the human brain. This review summarizes the development of DTI in the last decade with respect to the specificity and utility of the technique in radiology and anatomy studies.

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References

  1. Alexander, D. C., Barker, G. J., & Arridge, S. R. (2002). Detection and modeling of non-Gaussian apparent diffusion coefficient profiles in human brain data. Magnetic Resonance in Medicine, 48, 331–340.

    PubMed  Article  CAS  Google Scholar 

  2. Ardekani, B. A., Nierenberg, J., Hoptman, M. J., Javitt, D. C., & Lim, K. O. (2003). MRI study of white matter diffusion anisotropy in schizophrenia. NeuroReport, 14, 2025–2029.

    PubMed  Article  Google Scholar 

  3. Assaf, Y., & Basser, P. J. (2005). Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain. NeuroImage, 27, 48–58.

    PubMed  Article  Google Scholar 

  4. Assaf, Y., & Cohen, Y. (1998). Non-mono-exponential attenuation of water and N-acetyl aspartate signals due to diffusion in brain tissue. Journal of Magnetic Resonance, 131, 69–85.

    PubMed  Article  CAS  Google Scholar 

  5. Assaf, Y., & Cohen, Y. (2000). Assignment of the water slow-diffusing component in the central nervous system using q-space diffusion MRS: implications for fiber tract imaging. Magnetic Resonance in Medicine, 43, 191–199.

    PubMed  Article  CAS  Google Scholar 

  6. Assaf, Y., Ben-Bashat, D., Chapman, J., Peled, S., Biton, I. E., Kafri, M., et al. (2002). High b-value q-space analyzed diffusion-weighted MRI: application to multiple sclerosis. Magnetic Resonance in Medicine, 47, 115–126.

    PubMed  Article  CAS  Google Scholar 

  7. Assaf, Y., Pianka, P., Rothstein, P., Sigal, M., & Hendler, T. (2003). Deviation of fiber tracts in the vicinity of brain lesions: evaluation by diffusion tensor imaging. Israel Journal of Chemistry, 43, 155–163.

    Article  CAS  Google Scholar 

  8. Aubourg, P., & Mandel, J. L. (1996). X-linked adrenoleukodystrophy. Annals of the New York Academy of Sciences, 804, 461–476.

    PubMed  Article  CAS  Google Scholar 

  9. Beaulieu, C. (2002). The basis of anisotropic water diffusion in the nervous system—a technical review. NMR in Biomedicine, 15, 435–455.

    PubMed  Article  Google Scholar 

  10. Bammer, R., Augustin, M., Strasser-Fuchs, S., Seifert, T., Kapeller, P., Stollberger, R., et al. (2000). Magnetic resonance diffusion tensor imaging for characterizing diffuse and focal white matter abnormalities in multiple sclerosis. Magnetic Resonance in Medicine, 44, 583–591.

    PubMed  Article  CAS  Google Scholar 

  11. Basser, P. J. (1995). Inferring microstructural features and the physiological state of tissues from diffusion-weighted images. NMR in Biomedicine, 7–8, 333–344.

    Article  Google Scholar 

  12. Basser, P. J., & Jones, D. K. (2002). Diffusion-tensor MRI: theory, experimental design and data analysis—a technical review. NMR in Biomedicine, 15, 456–467.

    PubMed  Article  Google Scholar 

  13. Basser, P. J., & Pierpaoli, C. (1996). Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI. Journal of Magnetic Resonance Series B, 111, 209–219.

    PubMed  Article  CAS  Google Scholar 

  14. Basser, P. J., & Pierpaoli, C. (1998). A simplified method to measure the diffusion tensor from seven MR images. Magnetic Resonance in Medicine, 39, 928–934.

    PubMed  Article  CAS  Google Scholar 

  15. Basser, P. J., Mattiello, J., & Le Bihan, D. (1994). MR diffusion tensor spectroscopy and imaging. Biophysical Journal, 66, 259–267.

    PubMed  CAS  Google Scholar 

  16. Basser, P. J., Pajevic, S., Pierpaoli, C., Duda, J., & Aldroubi, A. (2000). In vivo fiber tractography using DT-MRI data. Magnetic Resonance in Medicine, 44, 625–632.

    PubMed  Article  CAS  Google Scholar 

  17. Beaulieu, C., & Allen, P. S. (1994). Determinants of anisotropic water diffusion in nerves. Magnetic Resonance in Medicine, 31, 394–400.

    PubMed  Article  CAS  Google Scholar 

  18. Betz, A. L., Iannotti, F., & Hoff, J. T. (1989). Brain edema: a classification based on blood–brain barrier integrity. Cerebrovascular and Brain Metabolism Reviews, 11, 133–154.

    Google Scholar 

  19. Bozzali, M., Falini, A., Franceschi, M., Cercignani, M., Zuffi, M., Scotti, G., et al. (2002). White matter damage in Alzheimer’s disease assessed in vivo using diffusion tensor magnetic resonance imaging. Journal of Neurology, Neurosurgery and Psychiatry, 72, 742–746.

    Article  CAS  Google Scholar 

  20. Callaghan, P. T. (Ed.) (1991). Principles of Nuclear Magnetic Resonance Microscopy. Oxford: Oxford University Press.

    Google Scholar 

  21. Callaghan, P. T., Coy, A., MacGowan, D., Packer, K. J., & Zelaya, F. O. (1991). Diffraction like effects in NMR diffusion studies of fluid in porous solids. Nature, 351, 467–469.

    Article  CAS  Google Scholar 

  22. Carano, R. A., Li, F., Irie, K., Helmer, K. G., Silva, M. D., Fisher, M., et al. (2000) Multispectral analysis of the temporal evolution of cerebral ischemia in the rat brain. Journal of Magnetic Resonance Imaging, 12, 842–858.

    PubMed  Article  CAS  Google Scholar 

  23. Catani, M., & Ffytche, D. H. (2005). The rises and falls of disconnection syndromes. Brain, 128, 2224–2239.

    PubMed  Article  Google Scholar 

  24. Catani, M., Howard, R. J., Pajevic, S., & Jones, D. K. (2002). Virtual in vivo interactive dissection of white matter fasciculi in the human brain. NeuroImage, 17, 77–94.

    PubMed  Article  Google Scholar 

  25. Ciccarelli, O., Werring, D. J., Wheeler-Kingshott, C. A., Barker, G. J., Parker, G. J., Thompson, A. J., et al. (2001). Investigation of MS normal-appearing brain using diffusion tensor MRI with clinical correlations. Neurology, 56, 926–933.

    PubMed  CAS  Google Scholar 

  26. Clark, C. A., Barrick, T. R., Murphy, M. M., & Bell, B. A. (2003). White matter tracking in patients with space-occupying lesions of the brain: a new technique for neurosurgical planning? NeuroImage, 20, 1601–1608.

    PubMed  Article  Google Scholar 

  27. Cohen, Y., & Assaf, Y. (2002). High b-value q-space analyzed diffusion-weighted MRS and MRI in neuronal tissues—a technical review. NMR in Biomedicine, 15, 516–542.

    PubMed  Article  Google Scholar 

  28. Conturo, T. E., Lori, N. F., Cull, T. S., Akbudak, E., Snyder, A. Z., Shimony, J. S., et al. (1999). Tracking neuronal fiber pathways in the living human brain. Proceedings of the National Academy of Sciences of the United States of America, 96, 10422–10427.

    PubMed  Article  CAS  Google Scholar 

  29. Cory, D. G., & Garroway, A. N. (1990). Measurement of translational displacement probabilities by NMR—an indicator of compartmentation. Magnetic Resonance in Medicine, 14, 435–444.

    PubMed  Article  CAS  Google Scholar 

  30. Cruz, Jr, L. C., & Sorensen, A. G. (2005). Diffusion tensor magnetic resonance imaging of brain tumors. Neurosurgery Clinics of North America, 16, 115–134.

    Article  Google Scholar 

  31. Dumas de la Roque, A., Oppenheim, C., Chassoux, F., Rodrigo, S., Beuvon, F., Daumas-Duport, C., et al. (2005). Diffusion tensor imaging of partial intractable epilepsy. European Radiology, 15, 279–285.

    PubMed  Article  Google Scholar 

  32. Eichler, F. S., Itoh, R., Barker, P. B., Mori, S., Garrett, E. S., van Zijl, P. C., et al. (2002). Proton MR spectroscopic and diffusion tensor brain MR imaging in X-linked adrenoleukodystrophy: initial experience. Radiology, 225, 245–252.

    PubMed  Article  Google Scholar 

  33. Fellgiebel, A., Muller, M. J., Wille, P., Dellani, P. R., Scheurich, A., Schmidt, L. G., et al. (2005). Color-coded diffusion-tensor-imaging of posterior cingulate fiber tracts in mild cognitive impairment. Neurobiology of Aging, 26, 1193–1198.

    PubMed  Article  Google Scholar 

  34. Fellgiebel, A., Wille, P., Muller, M. J., Winterer, G., Scheurich, A., Vucurevic, G., et al. (2004). Ultrastructural hippocampal and white matter alterations in mild cognitive impairment: a diffusion tensor imaging study. Dementia and Geriatric Cognitive Disorders, 18, 101–108.

    PubMed  Article  Google Scholar 

  35. Filippi, M., Cercignani, M., Inglese, M., Horsfield, M. A., & Comi, G. (2001). Diffusion tensor magnetic resonance imaging in multiple sclerosis. Neurology, 56, 304–311.

    PubMed  CAS  Google Scholar 

  36. Green, H. A., Pena, A., Price, C. J., Warburton, E. A., Pickard, J. D., Carpenter, T. A., et al. (2002). Increased anisotropy in acute stroke: a possible explanation. Stroke, 33, 1517–1521.

    PubMed  Article  Google Scholar 

  37. Griffin, C. M., Chard, D. T., Ciccarelli, O., Kapoor, B., Barker, G. J., Thompson, A. I., et al. (2001). Diffusion tensor imaging in early relapsing-remitting multiple sclerosis. Multiple Sclerosis, 7, 290–297.

    PubMed  CAS  Google Scholar 

  38. Guye, M., Parker, G. J., Symms, M., Boulby, P., Wheeler-Kingshott, C. A., Salek-Haddadi, A., et al. (2003). Combined functional MRI and tracotgraphy to demonstrate the connectivity of the human primary motor cortex in vivo. NeuroImage, 19, 1349–1360

    PubMed  Article  Google Scholar 

  39. Hendler, T., Pianka, P., Sigal, M., Kafri, M., Ben-Bashat, D., Constantini, S., et al. (2003). Delineating gray and white matter involvement in brain lesions: 3D alignment of fMRI and DTI. Journal of Neurosurgery, 99, 1018–1027.

    PubMed  Google Scholar 

  40. Horsfield, M. A., Larsson, H. B., Jones, D. K., & Gass, A. (1998). Diffusion magnetic resonance imaging in multiple sclerosis. Journal of Neurology, Neurosurgery and Psychiatry, 64(S1), S80–S84.

    Google Scholar 

  41. Huppi, P. S., Maier, S. E., Peled, S., Zientara, G. P., Barnes, P. D., Jolesz, F. A., et al. (1998). Microstructural development of human newborn cerebral white matter assessed in vivo by diffusion tensor magnetic resonance imaging. Pediatric Research, 44, 584–590.

    PubMed  Article  CAS  Google Scholar 

  42. Ito, R., Melhem, E. R., Mori, S., Eichler, F. S., Raymond, G. V., & Moser, H. W. (2001). Diffusion tensor brain MR imaging in X-linked cerebral adrenoleukodystrophy. Neurology, 56, 544–547.

    PubMed  CAS  Google Scholar 

  43. Ito, U., Ohno, K., Nakamura, R., Suganuma, F., & Inaba, Y. (1979). Brain edema during ischemia and after restoration of blood flow. Measurement of water, sodium, potassium content and plasma protein permeability. Stroke, 10, 542–547.

    PubMed  CAS  Google Scholar 

  44. Jansons, K. M., & Alexander, D. C. (2003). Persistent angular structure: new insights from diffusion MRI data. Dummy version. Information Processing in Medical Imaging, 18, 672–683.

    PubMed  Google Scholar 

  45. Jensen, J. H., Helpern, J. A., Ramani, A., Lu, H., & Kaczynski, K. (2005). Diffusional kurtosis imaging: the quantification of non-Gaussian water diffusion by means of magnetic resonance imaging. Magnetic Resonance in Medicine, 53, 1432–1440.

    PubMed  Article  Google Scholar 

  46. Jones, D. K., Lythgoe, D., Horsfield, M. A., Simmons, A., Williams, S. C., & Markus, H. S. (1999). Characterization of white matter damage in ischemic leukoaraiosis with diffusion tensor MRI. Stroke, 30, 393–397.

    PubMed  CAS  Google Scholar 

  47. Jones, D. K., Symms, M. R., Cercignani, M., & Howard, R. J. (2005). The effect of filter size on VBM analyses of DT-MRI data. NeuroImage, 26, 546–554.

    PubMed  Article  Google Scholar 

  48. Kafri, M., Bova, I., Pianka, P., Aizenstein, O., Hendler, T., Borenstein, N., et al. (2005). Segmented ROI Analysis of DTI in Stroke. Proceedings of the International Society for Magnetic Resonance in Medicine, 12, 1373.

    Google Scholar 

  49. Kanaan, R. A., Kim, J. S., Kaufmann, W. E., Pearlson, G. D., Barker, G. J., & McGuire, P. K. (2005). Diffusion tensor imaging in schizophrenia. Biological Psychiatry, 58, 921–929.

    PubMed  Article  Google Scholar 

  50. Kealey, S. M., & Provenzale, J. M. (2002). Tensor diffusion imaging in B12 leukoencephalopathy. Journal of Computer Assisted Tomography, 26, 952–955.

    PubMed  Article  Google Scholar 

  51. Kobari, M., Meyer, J. S., Ichijo, M., & Oravez, W. T. (1990). Leukoaraiosis: correlation of MR and CT findings with blood flow, atrophy, and cognition. American Journal of Neuroradiology, 11, 273–281.

    PubMed  CAS  Google Scholar 

  52. Kubicki, M., McCarley, R., Westin, C. F., Park, H. J., Maier, S., Kikinis, R., et al. (2005). A review of diffusion tensor imaging studies in schizophrenia. Journal of Psychiatric Research, 41, 15–30.

    PubMed  Article  Google Scholar 

  53. Kumra, S., Ashtari, M., McMeniman, M., Vogel, J., Augustin, R., Becker, D. E., et al. (2004) Reduced frontal white matter integrity in early-onset schizophrenia: a preliminary study. Biological Psychology, 55, 1138–1145.

    Article  Google Scholar 

  54. Le Bihan, D. (Ed.) (1995). Diffusion and Perfusion MRI, 1st Edition. New York: Raven.

    Google Scholar 

  55. Lim, K. O., & Helpern, J. A. (2002). Neuropsychiatric applications of DTI—a review. NMR in Biomedicine, 15, 587–593.

    PubMed  Article  CAS  Google Scholar 

  56. Lu, S., Ahn, D., Johnson, G., Law, M., Zagzag, D., & Grossman, R. I. (2004). Diffusion-tensor MR imaging of intracranial neoplasia and associated peritumoral edema: introduction of the tumor infiltration index. Radiology, 232, 221–228.

    PubMed  Article  Google Scholar 

  57. Magaro, P. A., & Page, J. (1983). Brain disconnection, schizophrenia, and paranoia. The Journal of Nervous and Mental Disease, 171, 133–140.

    PubMed  Article  CAS  Google Scholar 

  58. Medina, D., Detoledo-Morrell, L., Urresta, F., Gabrieli, J. D., Moseley, M., Fleischman, D., et al. (2005) White matter changes in mild cognitive impairment and AD: A diffusion tensor imaging study. Neurobiology of Aging, 27, 663–672.

    PubMed  Article  Google Scholar 

  59. Mori, S., Crain, B. J., Chacko, V. P., & van Zijl, P. C. M. (1999). Three dimensional tracking of axonal projections in the brain by magnetic resonance imaging. Annals of Neurology, 45, 265–269.

    PubMed  Article  CAS  Google Scholar 

  60. Mori, S., Wakana, S., Nagae-Poetscher, L. M., & van Zijl, P. C. M. (Eds.) (2005). MRI Atlas of Human White Matter, 1st Edition. Amsterdam: Elsevier.

    Google Scholar 

  61. Moseley, M., Bammer, R., & Illes, J. (2002). Diffusion-tensor imaging of cognitive performance. Brain and Cognition, 50, 396–413.

    PubMed  Article  Google Scholar 

  62. Moseley, M. E., Cohen, Y., Kucharczyk, J., Mintorovitch, J., Asgari, H. S., Wendland, M. F., et al. (1990). Diffusion-weighted MR imaging of anisotropic water diffusion in cat central-nervous-system. Radiology, 176, 439–445.

    PubMed  CAS  Google Scholar 

  63. Moseley, M. E., Hucharczyk, J., Asgari, H. S., & Norman, D. (1991). Anisotropy in diffusion-weighted MRI. Magnetic Resonance in Medicine, 19, 321–326.

    PubMed  Article  CAS  Google Scholar 

  64. Mukherjee, P., Miller, J. H., Shimony, J. S., Conturo, T. E., Lee, B. C., Almli, C. R., et al. (2001). Normal brain maturation during childhood: developmental trends characterized with diffusion-tensor MR imaging. Radiology, 221, 349–358.

    PubMed  Article  CAS  Google Scholar 

  65. Papadakis, N. G., Martin, K. M., Mustafa, M. H., Wilkinson, I. D., Griffiths, P. D., Huang, C.L., et al. (2002). Study of the effect of CSF suppression on white matter diffusion anisotropy mapping of healthy human brain. Magnetic Resonance in Medicine, 48, 394–398.

    PubMed  Article  Google Scholar 

  66. Parmar, H., Sitoh, Y. Y., & Yeo, T. T. (2004). Combined magnetic resonance tracotgraphy and functional magnetic resonance imaging in evaluation of brain tumors involving the motor system. Journal of Computer Assisted Tomography, 28, 551–556

    PubMed  Article  Google Scholar 

  67. Pajevic, S., & Pierpaoli, C. (1999). Color schemes to represent the orientation of anisotropic tissues from diffusion tensor data: application to white matter fiber tract mapping in the human brain. Magnetic Resonance in Medicine, 42, 526–540.

    PubMed  Article  CAS  Google Scholar 

  68. Pasternak, O., Sochen, N., & Assaf, Y. (2004). Separation of white matter fascicles from diffusion MRI using -functional regularization. Proceedings of the International Society for Magnetic Resonance in Medicine, 12, 1227.

    Google Scholar 

  69. Pasternak, O., Sochen, N., & Assaf, Y. (2006). PDE based estimation and regularization of multiple diffusion tensor fields. In J. Weickert & H. Hagen (Eds.), Visualization and image processing of tensor fields. Berlin: Springer.

  70. Papadakis, N. G., Xing, D., Houston, G. C., Smith, J. M., Smith, M. I., James, M. F., et al. (1999). A study of rotationally invariant and symmetric indices of diffusion anisotropy. Magnetic Resonance Imaging, 17, 881–892.

    PubMed  Article  CAS  Google Scholar 

  71. Pierpaoli, C., & Basser, P. J. (1996). Toward a quantitative assessment of diffusion anisotropy. Magnetic Resonance in Medicine, 36, 893–906.

    PubMed  Article  CAS  Google Scholar 

  72. Pierpaoli, C., Jezzard, P., Basser, P. J., Barnett, A., & Di Chiro, G. (1996). Diffusion tensor MR imaging of the human brain. Radiology, 201, 637–648.

    PubMed  CAS  Google Scholar 

  73. Poupon, C., Clark, C. A., Frouin, V., Regis, J., Bloch, I., Le Bihan, D., et al. (2000). Regularization of diffusion-based direction maps for the tracking of brain white matter fascicles. NeuroImage, 12, 184–195.

    PubMed  Article  CAS  Google Scholar 

  74. Price, G., Bagary, M. S., Cercignani, M., Altmann, D. R., & Ron, M. A. (2005). The corpus callosum in first episode schizophrenia: a diffusion tensor imaging study. Journal of Neurology, Neurosurgery and Psychiatry, 76, 585–587.

    Article  CAS  Google Scholar 

  75. Sakuma, H., Nomura, Y., Takeda, K., Tagami, T., Nakagawa, T., Tamagawa, Y., et al. (1991). Adult and neuonatal human brain: diffusional anisotropy and myelination with diffusion-weighted MR imaging. Radiology, 180, 229–233.

    PubMed  CAS  Google Scholar 

  76. Salat, D. H., Tuch, D. S., Greve, D. N., van der Kouwe, A. J., Hevelone, N. D., Zaleta, A. K., et al. (2005). Age-related alterations in white matter microstructure measured by diffusion tensor imaging. Neurobiology Aging, 26, 1215–1227.

    Article  CAS  Google Scholar 

  77. Schonberg, T., Pianka, P., Hendler, T., Pasternak, O., & Assaf, Y. (2005). Characterization of displaced white matter by brain tumor by fMRI and DTI. NeuroImage, 30, 1100–1111, 2006.

    Article  Google Scholar 

  78. Sinha, S., Bastin, M. E., Whittle, I. R., & Wardlaw, J. M. (2002). Diffusion tensor MR imaging of high-grade cerebral gliomas. American Journal of Neuroradiology, 23, 520–527.

    PubMed  Google Scholar 

  79. Sorensen, A. G., Wu, O., Copen, W. A., Davis, T. L., Gonzalez, R. G., Koroshetz, W. J., et al. (1999). Human acute cerebral ischemia: detection of changes in water diffusion anisotropy by using MR imaging. Radiology, 212, 785–792.

    PubMed  CAS  Google Scholar 

  80. Sotak, C. H. (2002). The role of diffusion tensor imaging in the evaluation of ischemic brain injury—a review. NMR in Biomedicine, 15, 561–569.

    PubMed  Article  Google Scholar 

  81. Szeszko, P. R., Ardekani, B. A., Ashtari, M., Malhotra, A. K., Robinson, D. G., Bilder, R. M., et al. (2005). White matter abnormalities in obsessive-compulsive disorder: a diffusion tensor imaging study. Archives of General Psychiatry, 67, 782–790.

    Article  Google Scholar 

  82. Thomalla, G., Glauche, V., Koch, M. A., Beaulieu, C., Weiller, C., & Rother, J. (2004). Diffusion tensor imaging detects early Wallerian degeneration of the pyramidal tract after ischemic stroke. NeuroImage, 22, 1767–1774.

    PubMed  Article  Google Scholar 

  83. Tuch, D. S. (2004). Q-ball imaging. Magnetic Resonance in Medicine, 52, 1358–1372.

    PubMed  Article  Google Scholar 

  84. Tuch, D. S., Reese, T. G., Wiegell, M. R., Makris, N., Belliveau, J. W., & Wedeen, V. J. (2002). High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity. Magnetic Resonance in Medicine, 48, 577–582.

    PubMed  Article  Google Scholar 

  85. Tuch, D. S., Reese, T. G., Wiegell, M. R., & Wedeen, V. J. (2003). Diffusion MRI of complex neural architecture. Neuron, 40, 885–895.

    PubMed  Article  CAS  Google Scholar 

  86. Ulug, A. M., & van Zijl, P. C. (1999). Orientation-independent diffusion imaging without tensor diagonalization: anisotropy definitions based on physical attributes of the diffusion ellipsoid. Journal of Magnetic Resonance Imaging, 9, 804–813.

    PubMed  Article  CAS  Google Scholar 

  87. Werring, D. J., Clark, C. A., Barker, G. J., Thompson, A. J., & Miller, D. H. (1999). Diffusion tensor imaging of lesions and normal-appearing white matter in multiple sclerosis. Neurology, 52, 1626–1632.

    PubMed  CAS  Google Scholar 

  88. Werring, D. J., Toosy, A. T., Clark, C. A., Parker, G. J., Barker, G. J., Miller, D. H., et al. (2000). Diffusion tensor imaging can detect and quantify corticospinal tract degeneration after stroke. Journal of Neurology, Neurosurgery and Psychiatry, 69, 269–272.

    Article  CAS  Google Scholar 

  89. Westin, C. F., Maier, S. E., Mamata, H., Nabavi, A., Jolesz, F. A., & Kikinis, R. (2002). Processing and visualization for diffusion tensor MRI. Medical Image Analysis, 6, 93–108.

    PubMed  Article  Google Scholar 

  90. Wick, W., & Kuker, W. (2004). Brain edema in neurooncology: radiological assessment and management. Onkologie, 27, 261–266.

    PubMed  Article  CAS  Google Scholar 

  91. Witwer, B. P., Moftakhar, R., Hasan, K. M., Deshmukh, P., Haughton, V., Field, A., et al. (2002). Diffusion tensor imaging of white matter tracts in patients with cerebral neoplasm. Journal of Neurosurgery, 97, 568–575.

    PubMed  Article  Google Scholar 

  92. Yang, Q., Tress, B. M., Barber, P. A., Desmond, P. M., Darby, D. G., Gerraty, R. P., et al. (1999). Serial study of apparent diffusion coefficient and anisotropy in patients with acute stroke. Stroke, 30, 2382–2390.

    PubMed  CAS  Google Scholar 

  93. Zelaya, F., Flood, N., Chalk, J. B., Wang, D., Doddrell, D. M., Strugnell, W., et al. (1999). An evaluation of the time dependence of the anisotropy of the water diffusion tensor in acute human ischemia. Magnetic Resonance Imaging, 17, 331–348.

    PubMed  Article  CAS  Google Scholar 

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Assaf, Y., Pasternak, O. Diffusion Tensor Imaging (DTI)-based White Matter Mapping in Brain Research: A Review. J Mol Neurosci 34, 51–61 (2008). https://doi.org/10.1007/s12031-007-0029-0

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Keywords

  • Magnetic resonance imaging
  • White matter
  • Diffusion tensor imaging
  • Tractography
  • Anisotropy