A fiber tracking method guided by volumetric tract segmentation

Chuyang Ye, Pierre Louis Bazin, Sarah H. Ying, Jerry L. Prince

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

Abstract

This paper presents a fiber tracking method that solves fiber crossing and avoids anatomically improbable fiber tracts using clinical-quality diffusion tensor images. The method tracks fiber pathways under the guidance of global information from volumetric tract segmentation obtained from the algorithm of diffusion oriented tract segmentation (DOTS). New primary diffusion directions (PDD) are calculated in crossing areas labeled by DOTS, by solving the Euler-Lagrange equation. We replace the PDD field obtained from the tensors with the new PDD field, which we refer to as DOTS-PDD, in crossing areas in tractography. Results on synthetic data and real data demonstrate that the proposed method manages to propagate fiber pathways through crossing area and produce anatomically desirable fibers.

Original languageEnglish (US)
Title of host publication2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, MMBIA 2012
Pages137-142
Number of pages6
DOIs
StatePublished - Apr 24 2012
Event2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, MMBIA 2012 - Breckenridge, CO, United States
Duration: Jan 9 2012Jan 10 2012

Publication series

NameProceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis

Other

Other2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, MMBIA 2012
CountryUnited States
CityBreckenridge, CO
Period1/9/121/10/12

ASJC Scopus subject areas

  • Applied Mathematics
  • Radiology Nuclear Medicine and imaging
  • Biomedical Engineering

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  • Cite this

    Ye, C., Bazin, P. L., Ying, S. H., & Prince, J. L. (2012). A fiber tracking method guided by volumetric tract segmentation. In 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, MMBIA 2012 (pp. 137-142). [6164744] (Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis). https://doi.org/10.1109/MMBIA.2012.6164744