Application of voxelwise analysis in the detection of regions of reduced fractional anisotropy in multiple sclerosis patients

Sunil A. Patel, Barbara A. Hum, Carlos F. Gonzalez, Robert J. Schwartzman, Scott H. Faro, Feroze B. Mohamed

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


Purpose: To investigate the utility of voxelwise analysis in the detection of lesions in the normal appearing white matter (NAWM) of individual multiple sclerosis (MS) patients. Materials and Methods: Diffusion tensor imaging (DTI) was performed on 10 normal controls and six patients with MS lesions. The fractional anisotropy (FA) maps derived from the diffusion-weighted images were then spatially normalized (via an afflne transformation) into Montreal Neurological Institute (MNI) space, and the normalized FA map of each of the patients was compared voxelwise with the normalized FA maps of the group of normals in a one-sample t-test (P = 0.0001). Two independent board-certified neuroradiologists reviewed the data. Results: In the patient data for all six cases, the two reviewers determined detection sensitivities of 72% and 96% for the voxelwise technique based on known fluid-attenuated inversion-recovery (FLAIR) lesions. In addition, between the two reviewers, nine NAWM regions exhibiting FA reductions were identified in the six patients. However, numerous regions of abnormal FA were detected that were attributed to poor intersubject image registration. Conclusion: Voxelwise analysis of spatially normalized FA maps has the potential to identify regions of FA reduction in lesions and in the NAWM of individual MS patients in a rapid and reproducible fashion.

Original languageEnglish (US)
Pages (from-to)552-556
Number of pages5
JournalJournal of Magnetic Resonance Imaging
Issue number3
StatePublished - Sep 2007
Externally publishedYes


  • DTI
  • Diffusion tensor imaging
  • Fractional anisotropy
  • Multiple sclerosis
  • Voxelwise analysis

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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