A fiber tracking method guided by volumetric tract segmentation

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

doi:10.1109/MMBIA.2012.6164744

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 proceeding › Conference contribution

3 Scopus citations

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 language	English (US)
Title of host publication	2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, MMBIA 2012
Pages	137-142
Number of pages	6
DOIs	https://doi.org/10.1109/MMBIA.2012.6164744
State	Published - Apr 24 2012
Event	2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, MMBIA 2012 - Breckenridge, CO, United States Duration: Jan 9 2012 → Jan 10 2012

Publication series

Name	Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis

Other

Other	2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, MMBIA 2012
Country/Territory	United States
City	Breckenridge, CO
Period	1/9/12 → 1/10/12

ASJC Scopus subject areas

Applied Mathematics
Radiology Nuclear Medicine and imaging
Biomedical Engineering

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10.1109/MMBIA.2012.6164744

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A fiber tracking method guided by volumetric tract segmentation. / Ye, Chuyang; Bazin, Pierre Louis; Ying, Sarah H. et al.
2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, MMBIA 2012. 2012. p. 137-142 6164744 (Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ye, C, Bazin, PL, Ying, SH & Prince, JL 2012, A fiber tracking method guided by volumetric tract segmentation. in 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, MMBIA 2012., 6164744, Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis, pp. 137-142, 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, MMBIA 2012, Breckenridge, CO, United States, 1/9/12. https://doi.org/10.1109/MMBIA.2012.6164744

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title = "A fiber tracking method guided by volumetric tract segmentation",

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.",

author = "Chuyang Ye and Bazin, {Pierre Louis} and Ying, {Sarah H.} and Prince, {Jerry L.}",

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AB - 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.

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A fiber tracking method guided by volumetric tract segmentation

Abstract

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