Fiber tractogrophy and tract segmentation in multiple sclerosis lesions

Navid Shiee, Pierre Louis Bazin, Peter A. Calabresi, Daniel S. Reich, Dzung L. Pham

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Diffusion tensor imaging provides rich information about human brain connectivity in vivo, yet most current methods for fiber tractography or tract segmentation do not address white matter pathologies such as multiple sclerosis lesions, which can alter the diffusion tensor characteristics. We study here the effects of MS lesions on estimated diffusion tensors and how they affect the processing of fibers and tracts. An efficient correction algorithm is proposed to compensate for lesion areas in two different approaches to fiber tracking and tract segmentation. Application of the algorithm to real data acquired from MS patients demonstrates improved fiber tracking through lesion regions.

Original languageEnglish (US)
Title of host publication2011 8th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, ISBI'11
Pages1488-1491
Number of pages4
DOIs
StatePublished - 2011
Event2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 - Chicago, IL, United States
Duration: Mar 30 2011Apr 2 2011

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Other

Other2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11
Country/TerritoryUnited States
CityChicago, IL
Period3/30/114/2/11

Keywords

  • Diffusion tensor imaging
  • Diffusion weighted imaging
  • Fiber tracking
  • Multiple Sclerosis
  • WM bundle segmentation
  • WM lesions

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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