Magnetic Resonance Imaging
Volume 28, Issue 4 , Pages 546-556 , May 2010

Validation of the anisotropy index ellipsoidal area ratio in diffusion tensor imaging

  • Xiaojian Kang

      Affiliations

    • Department of Neurology and Center for Neuroscience, 4860 Y St., Suite 3700, Sacramento, CA 95817, USA
    • Human Cognitive Neurophysiology Lab, VA Research Service, VA-NCHCS, 150 Muir Road, Martinez, CA 94553, USA
    • Corresponding Author InformationCorresponding author. Department of Neurology and Neurosciences Center, UC Davis, VA-NCHCS, Research Services (151), Martinez, CA 94553. Tel.: +1 925 372 2538; fax: +1 925 229 2315.
    • ,
  • Timothy J. Herron

      Affiliations

    • Human Cognitive Neurophysiology Lab, VA Research Service, VA-NCHCS, 150 Muir Road, Martinez, CA 94553, USA
    • ,
  • David L. Woods

      Affiliations

    • Department of Neurology and Center for Neuroscience, 4860 Y St., Suite 3700, Sacramento, CA 95817, USA
    • Human Cognitive Neurophysiology Lab, VA Research Service, VA-NCHCS, 150 Muir Road, Martinez, CA 94553, USA
    • UC Davis Center for Mind and Brain, 202 Cousteau Place, Suite 201, Davis, CA 95616, USA

Received 15 April 2009 ,Revised 3 December 2009 ,Accepted 7 December 2009.

References 

  1. Basser PJ, Pierpaoli C. Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI. J Magn Reson B. 1996;111(3):209–219
  2. Alexander AL, et al. A geometric analysis of diffusion tensor measurements of the human brain. Magn Reson Med. 2000;44(2):283–291
  3. Armitage PA, Bastin ME. Selecting an appropriate anisotropy index for displaying diffusion tensor imaging data with improved contrast and sensitivity. Magn Reson Med. 2000;44(1):117–121
  4. Hasan KM, Alexander AL, Narayana PA. Does fractional anisotropy have better noise immunity characteristics than relative anisotropy in diffusion tensor MRI? An analytical approach. Magn Reson Med. 2004;51(2):413–417
  5. Xu D, et al. The ellipsoidal area ratio: an alternative anisotropy index for diffusion tensor imaging. Magn Reson Imaging. 2009;27(3):311–323
  6. Turken A, et al. Assessing diffuse axonal injury in the corpus callosum using multimodal imaging. In: Proceedings of 14th Annual Meeting of the Organization for Human Brain Mapping (OHBM). Melbourne, Australia. 2008;
  7. Friston KJ, et al. Spatial registration and normalization of images. Hum Brain Mapp. 1995;2:165–189
  8. Evans AC. et al. 3D statistical neuroanatomical models from 305 MRI volumes. in Proc. IEEE Nuclear Science Symposium and Medical Imaging Conference. 1993;
  9. Talairach J, Tournoux P. Co-planar stereotaxic atlas of the human brain: a 3-dimensional proportional system, an approach to cerebral imaging. In: New York: G. Thieme; Thieme Medical Publishers; 1988;p. viii, 122
  10. Ashburner J, Friston KJ. Nonlinear spatial normalization using basis functions. Hum Brain Mapp. 1999;7(4):254–266
  11. Mehta S, et al. Evaluation of voxel-based morphometry for focal lesion detection in individuals. Neuroimage. 2003;20(3):1438–1454
  12. Wakana S, et al. Fiber tract-based atlas of human white matter anatomy. Radiology. 2004;230(1):77–87
  13. Burgel U, et al. White matter fiber tracts of the human brain: three-dimensional mapping at microscopic resolution, topography and intersubject variability. Neuroimage. 2006;29(4):1092–1105
  14. Mori S, et al. Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template. Neuroimage. 2008;40(2):570–582
  15. Fischl B, et al. High-resolution intersubject averaging and a coordinate system for the cortical surface. Hum Brain Mapp. 1999;8(4):272–284
  16. Thompson PM, Toga AW. A surface-based technique for warping three-dimensional images of the brain. IEEE Trans Med Imaging. 1996;15(4):402–417
  17. Van Essen DC, et al. Functional and structural mapping of human cerebral cortex: solutions are in the surfaces. Proc Natl Acad Sci U S A. 1998;95(3):788–795
  18. Desai R, et al. Volumetric vs. surface-based alignment for localization of auditory cortex activation. Neuroimage. 2005;26(4):1019–1029
  19. Kang X, et al. Local landmark-based mapping of human auditory cortex. Neuroimage. 2004;22(4):1657–1670
  20. Van Essen DC, Population-Average A. Landmark- and surface-based (PALS) atlas of human cerebral cortex. Neuroimage. 2005;28(3):635–662
  21. Dale AM, Fischl B, Sereno MI. Cortical surface-based analysis. I. Segmentation and surface reconstruction. Neuroimage. 1999;9(2):179–194
  22. Turken AU, et al. Multimodal surface-based morphometry reveals diffuse cortical atrophy in traumatic brain injury. BMC Medical Imaging. 2009;9:20
  23. Skare S, et al. Noise considerations in the determination of diffusion tensor anisotropy. Magn Reson Imaging. 2000;18(6):659–669
  24. Skare S, et al. Condition number as a measure of noise performance of diffusion tensor data acquisition schemes with MRI. J Magn Reson. 2000;147(2):340–352
  25. Chang LC, Jones DK, Pierpaoli C. RESTORE: robust estimation of tensors by outlier rejection. Magn Reson Med. 2005;53(5):1088–1095
  26. Swets JA. Signal detection theory and ROC analysis in psychology and diagnostics: collected papers/John A Swets. Scientific psychology series. Mahwah (NJ): L. Erlbaum Associates; 1996;

PII: S0730-725X(09)00307-5

doi: 10.1016/j.mri.2009.12.015

Magnetic Resonance Imaging
Volume 28, Issue 4 , Pages 546-556 , May 2010

Article Tools

* Image Usage & Resolution