Streamlet Tractography

Matthew George Liptrot; Sune Darkner; Aasa Feragen; Francois Bernard Lauze

Abstract

Streamlet tractography is a novel approach that aims to combine the benefits of both streamline and global tractography approaches. In contrast to requiring individual streamlines to successfully propagate from seed to target regions to register as a connection, here short streamlines - streamlets - are initially generated from each white-matter voxel, and then seed-to-target connectivity is assessed by evaluating connectivity between these streamlets. In this way, streamlet generation can adapt to the local environment, whilst seed-to-target connectivity is assessed at the global level. Furthermore, the proposed framework permits the inclusion of previous results and alternative data sources.

Originalsprog	Engelsk
Publikationsdato	apr. 2017
Status	Udgivet - apr. 2017
Begivenhed	25th ISMRM Annual Meeting - Hawaii Convention Center, Honolulu, USA Varighed: 22 apr. 2017 → 27 apr. 2017 Konferencens nummer: 25 https://www.ismrm.org/2017-annual-meeting-exhibition/

Konference

Konference	25th ISMRM Annual Meeting
Nummer	25
Lokation	Hawaii Convention Center
Land/Område	USA
By	Honolulu
Periode	22/04/2017 → 27/04/2017
Internetadresse	https://www.ismrm.org/2017-annual-meeting-exhibition/

Andre filer og links

https://www.ismrm.org/17/program_files/O71.htm

Citationsformater

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title = "Streamlet Tractography",

abstract = "Streamlet tractography is a novel approach that aims to combine the benefits of both streamline and global tractography approaches. In contrast to requiring individual streamlines to successfully propagate from seed to target regions to register as a connection, here short streamlines - streamlets - are initially generated from each white-matter voxel, and then seed-to-target connectivity is assessed by evaluating connectivity between these streamlets. In this way, streamlet generation can adapt to the local environment, whilst seed-to-target connectivity is assessed at the global level. Furthermore, the proposed framework permits the inclusion of previous results and alternative data sources.",

author = "Liptrot, {Matthew George} and Sune Darkner and Aasa Feragen and Lauze, {Francois Bernard}",

year = "2017",

month = apr,

language = "English",

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TY - ABST

T1 - Streamlet Tractography

AU - Liptrot, Matthew George

AU - Darkner, Sune

AU - Feragen, Aasa

AU - Lauze, Francois Bernard

N1 - Conference code: 25

PY - 2017/4

Y1 - 2017/4

N2 - Streamlet tractography is a novel approach that aims to combine the benefits of both streamline and global tractography approaches. In contrast to requiring individual streamlines to successfully propagate from seed to target regions to register as a connection, here short streamlines - streamlets - are initially generated from each white-matter voxel, and then seed-to-target connectivity is assessed by evaluating connectivity between these streamlets. In this way, streamlet generation can adapt to the local environment, whilst seed-to-target connectivity is assessed at the global level. Furthermore, the proposed framework permits the inclusion of previous results and alternative data sources.

AB - Streamlet tractography is a novel approach that aims to combine the benefits of both streamline and global tractography approaches. In contrast to requiring individual streamlines to successfully propagate from seed to target regions to register as a connection, here short streamlines - streamlets - are initially generated from each white-matter voxel, and then seed-to-target connectivity is assessed by evaluating connectivity between these streamlets. In this way, streamlet generation can adapt to the local environment, whilst seed-to-target connectivity is assessed at the global level. Furthermore, the proposed framework permits the inclusion of previous results and alternative data sources.

UR - https://www.ismrm.org/17/program_files/O71.htm

M3 - Conference abstract for conference

T2 - 25th ISMRM Annual Meeting

Y2 - 22 April 2017 through 27 April 2017

ER -

Streamlet Tractography

Abstract

Konference

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Fingeraftryk

Citationsformater