A fiber tracking method guided by volumetric tract segmentation

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

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
Title of host publication2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, MMBIA 2012
Pages137-142
Number of pages6
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, MMBIA 2012 - Breckenridge, CO, United States
Duration: 9 Jan 201210 Jan 2012

Publication series

NameProceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis

Conference

Conference2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, MMBIA 2012
Country/TerritoryUnited States
CityBreckenridge, CO
Period9/01/1210/01/12

Fingerprint

Dive into the research topics of 'A fiber tracking method guided by volumetric tract segmentation'. Together they form a unique fingerprint.

Cite this