Academic Radiology
Volume 15, Issue 1 , Pages 84-92 , January 2008

Quantitative Diffusion Tensor Analysis Using Multiple Tensor Ellipsoids Model and Tensor Field Interpolation at Fiber Crossing

Received 30 October 2006 ,Accepted 13 July 2007.

References 

  1. Werring DH, Clark CA, Barker GJ, Thompson AJ, Miller DH. Diffusion tensor imaging of lesions and normal-appearing white matter in multiple sclerosis. Neurology. 1999;52:1626–1632
  2. Werring DJ, Clark CA, Barker GJ, et al. The structural and functional mechanisms of motor recovery: Complementary use of diffusion tensor and functional magnetic resonance imaging in a traumatic injury of the internal capsule. J Neurol Neurosurg Psychiatry. 1998;65:863–869
  3. Dubey P, Fatemi A, Huang H, et al. Diffusion tensor–based imaging reveals occult abnormalities in adrenomyeloneuropathy. Ann Neurol. 2005;58:758–766
  4. Concha L, Beaulieu C, Gross DW. Bilateral limbic diffusion abnormalities in unilateral temporal lobe epilepsy. Ann Neurol. 2005;57:188–196
  5. Aoki S, Iwata NK, Masutani Y, et al. Quantitative evaluation of the pyramidal tract segmented by diffusion tensor tractography: Feasibility study in patients with amyotrophic lateral sclerosis. Radiation Medicine. 2005;23:195–199
  6. Basser PJ, Pierpaoli C. Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI. J Magn Reson B. 1996;111:209–219
  7. Alexander AL, Hasan KM, Lazar M, Tsuruda JS, Parker DL. Analysis of partial volume effects in diffusion-tensor MRI. Magn Reson Med. 2001;45:770–780
  8. King MD, Houseman J, Roussel SA, van Bruggen N, Williams SR, Gadian DG. q-Space imaging of the brain. Magn Reson Med. 1994;32:707–713
  9. Tuch DS, Reese TG, Wiegell MR, Makris N, Belliveau JW, Wedeen VJ. High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity. Magn Reson Med. 2002;48:577–582
  10. Assaf Y, Mayk A, Cohen Y. Displacement imaging of spinal cord using q-space diffusion-weighted MRI. Magn Reson Med. 2000;44:713–722
  11. Peter J. Basser (Relationships between diffusion tensor and q-space MRI). Magn Reson Med. 2002;47:392–397
  12. Kreher BW, Schneider JF, Mader I, Martin E, Hennig J, Il’yasov KA. Multitensor approach for analysis and tracking of complex fiber configurations. Magn Reson Med. 2005;54:1216–1225
  13. Mori S, Crain BJ, Chacko VP, van Zijl PC. Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging. Ann Neurol. 1999;45:265–269
  14. Masutani Y, Aoki S, Abe O, Hayashi N, Otomo K. MR diffusion tensor imaging: Recent advance and new techniques for diffusion tensor visualization. Eur J Radiol. 2003;46:53–66
  15. Savchenko VV, Pasko AA, Okunev OG, Kunii TL. Function representation of solids reconstructed from scattered surface points and contours. Computer Graphics Forum. 1995;14:181–188
  16. Lagarias JC, Reeds JA, Wright MH, Wright PE. Convergence properties of the Nelder-Mead simplex method in low dimensions. SIAM J Optimiz. 1998;9:112–147
  17. Jones DK, Horsfield MA, Simmons A. Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging. Magn Reson Med. 1999;42:515–525
  18. Mangin JF, Poupon C, Clark C, Le Bihan D, Bloch I. Distortion correction and robust tensor estimation for MR diffusion imaging. Med Image Anal. 2002;6:191–198
  19. Jones DK, Basser PJ. “Squashing peanuts and smashing pumpkins”: How noise distorts diffusion-weighted MR data. Magn Reson Med. 2004;52:979–993
  20. Jones DK. The effect of gradient sampling schemes on measures derived from diffusion tensor MRI: A Monte Carlo study. Magn Reson Med. 2004;51:807–815
  21. Tuch DS. Q-ball imaging. Magn Reson Med. 2004;52:1358–1372
  22. Assaf Y, Basser PJ. Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain. Neuroimage. 2005;27:48–58
  23. Batchelor PG, Atkinson D, Hill DL, Calamante F, Connelly A. Anisotropic noise propagation in diffusion tensor MRI sampling schemes. Magn Reson Med. 2003;49:1143–1151
  24. Skare S, Hedehus M, Moseley ME, Li TQ. Condition number as a measure of noise performance of diffusion tensor data acquisition schemes with MRI. J Magn Reson. 2000;147:340–352

1 This work was partially supported by the grant-in-aid for scientific research on priority areas; “Intelligent Assistance in Diagnosis of Multi-Dimensional Medical Images” from the ministry of education, culture, sports, science, and technology, Japan.

PII: S1076-6332(07)00395-9

doi: 10.1016/j.acra.2007.07.004

Academic Radiology
Volume 15, Issue 1 , Pages 84-92 , January 2008