Discretizing stochastic tractography: A fast implementation

Juan Eugenio Iglesias; Paul Thompson; Cheng Yi Liu; Zhuowen Tu

doi:10.1109/ISBI.2010.5490255

Discretizing stochastic tractography: A fast implementation

Juan Eugenio Iglesias, Paul Thompson, Cheng Yi Liu, Zhuowen Tu

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

2 Scopus citations

Abstract

Probabilistic tractography has emerged as an alternative to classical deterministic methods to overcome their lack of connectivity information between different brain regions. However, it relies on statistical sampling, which is computationally taxing. In this study, a well-known, random walk based stochastic tractography method is discretized by limiting the set of directions that a sampling particle can follow. This sets up to a framework based on a Markov chain that can accommodate all the desirable features of stochastic tractography, principally trajectory regularization through particle deflection. The system produces results that are comparable to those by the stochastic algorithm it is based on (ρ = 0.79), though 60 times faster.

Original language	English
Title of host publication	2010 7th IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro, ISBI 2010 - Proceedings
Pages	1381-1384
Number of pages	4
DOIs	https://doi.org/10.1109/ISBI.2010.5490255
State	Published - 2010
Externally published	Yes
Event	7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Rotterdam, Netherlands Duration: 14 Apr 2010 → 17 Apr 2010

Publication series

Name	2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings

Conference

Conference	7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010
Country/Territory	Netherlands
City	Rotterdam
Period	14/04/10 → 17/04/10

Keywords

Fast
HARDI
Stochastic
Tractography

Access to Document

10.1109/ISBI.2010.5490255

Cite this

Iglesias, J. E., Thompson, P., Liu, C. Y., & Tu, Z. (2010). Discretizing stochastic tractography: A fast implementation. In 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings (pp. 1381-1384). Article 5490255 (2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings). https://doi.org/10.1109/ISBI.2010.5490255

@inproceedings{aa4d5442956648de85645d8992d0e0e3,

title = "Discretizing stochastic tractography: A fast implementation",

abstract = "Probabilistic tractography has emerged as an alternative to classical deterministic methods to overcome their lack of connectivity information between different brain regions. However, it relies on statistical sampling, which is computationally taxing. In this study, a well-known, random walk based stochastic tractography method is discretized by limiting the set of directions that a sampling particle can follow. This sets up to a framework based on a Markov chain that can accommodate all the desirable features of stochastic tractography, principally trajectory regularization through particle deflection. The system produces results that are comparable to those by the stochastic algorithm it is based on (ρ = 0.79), though 60 times faster.",

keywords = "Fast, HARDI, Stochastic, Tractography",

author = "Iglesias, {Juan Eugenio} and Paul Thompson and Liu, {Cheng Yi} and Zhuowen Tu",

year = "2010",

doi = "10.1109/ISBI.2010.5490255",

language = "English",

isbn = "9781424441266",

series = "2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings",

pages = "1381--1384",

booktitle = "2010 7th IEEE International Symposium on Biomedical Imaging",

note = "7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 ; Conference date: 14-04-2010 Through 17-04-2010",

}

Iglesias, JE, Thompson, P, Liu, CY & Tu, Z 2010, Discretizing stochastic tractography: A fast implementation. in 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings., 5490255, 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings, pp. 1381-1384, 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010, Rotterdam, Netherlands, 14/04/10. https://doi.org/10.1109/ISBI.2010.5490255

Discretizing stochastic tractography: A fast implementation. / Iglesias, Juan Eugenio; Thompson, Paul; Liu, Cheng Yi et al.
2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings. 2010. p. 1381-1384 5490255 (2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings).

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

TY - GEN

T1 - Discretizing stochastic tractography

T2 - 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010

AU - Iglesias, Juan Eugenio

AU - Thompson, Paul

AU - Liu, Cheng Yi

AU - Tu, Zhuowen

PY - 2010

Y1 - 2010

N2 - Probabilistic tractography has emerged as an alternative to classical deterministic methods to overcome their lack of connectivity information between different brain regions. However, it relies on statistical sampling, which is computationally taxing. In this study, a well-known, random walk based stochastic tractography method is discretized by limiting the set of directions that a sampling particle can follow. This sets up to a framework based on a Markov chain that can accommodate all the desirable features of stochastic tractography, principally trajectory regularization through particle deflection. The system produces results that are comparable to those by the stochastic algorithm it is based on (ρ = 0.79), though 60 times faster.

AB - Probabilistic tractography has emerged as an alternative to classical deterministic methods to overcome their lack of connectivity information between different brain regions. However, it relies on statistical sampling, which is computationally taxing. In this study, a well-known, random walk based stochastic tractography method is discretized by limiting the set of directions that a sampling particle can follow. This sets up to a framework based on a Markov chain that can accommodate all the desirable features of stochastic tractography, principally trajectory regularization through particle deflection. The system produces results that are comparable to those by the stochastic algorithm it is based on (ρ = 0.79), though 60 times faster.

KW - Fast

KW - HARDI

KW - Stochastic

KW - Tractography

UR - http://www.scopus.com/inward/record.url?scp=77955189621&partnerID=8YFLogxK

U2 - 10.1109/ISBI.2010.5490255

DO - 10.1109/ISBI.2010.5490255

M3 - Conference contribution

AN - SCOPUS:77955189621

SN - 9781424441266

T3 - 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings

SP - 1381

EP - 1384

BT - 2010 7th IEEE International Symposium on Biomedical Imaging

Y2 - 14 April 2010 through 17 April 2010

ER -

Iglesias JE, Thompson P, Liu CY, Tu Z. Discretizing stochastic tractography: A fast implementation. In 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings. 2010. p. 1381-1384. 5490255. (2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings). doi: 10.1109/ISBI.2010.5490255

Discretizing stochastic tractography: A fast implementation

Abstract

Publication series

Conference

Keywords

Access to Document

Fingerprint

Cite this