Structural parcellation of the thalamus using shortest-path tractography

Niklas Kasenburg; Sune Darkner; Ute Hahn; Matthew George Liptrot; Aasa Feragen

doi:10.1109/ISBI.2016.7493330

Structural parcellation of the thalamus using shortest-path tractography

Niklas Kasenburg, Sune Darkner, Ute Hahn, Matthew George Liptrot, Aasa Feragen

Datalogisk Institut

2 Citationer (Scopus)

Abstract

We demonstrate how structural parcellation can be implemented using shortest-path tractography, thereby addressing some of the shortcomings of the conventional approaches. In particular, our algorithm quantifies, via p-values, the confidence that a voxel in the parcellated region is connected to each cortical target region. Calculation of these statistical measures is derived from a rank-based test on the histogram of tract-based scores from all the shortest paths found between the source voxel and each voxel within the target region. Using data from the Human Connectome Project, we show that parcellation of the thalamus results in p-value maps that are spatially coherent across subjects. Comparing to the state-of-the-art parcellation of Behrens et al. [1], we observe some agreement, but the soft segmentation exhibits better stability for voxels connected to multiple target regions.

Originalsprog	Engelsk
Titel	2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)
Antal sider	5
Forlag	IEEE
Publikationsdato	2016
Sider	559-563
Artikelnummer	7493330
ISBN (Elektronisk)	978-1-4799-2349-6
DOI	https://doi.org/10.1109/ISBI.2016.7493330
Status	Udgivet - 2016
Begivenhed	2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Prague, Tjekkiet Varighed: 13 apr. 2016 → 16 apr. 2016

Konference

Konference	2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016
Land/Område	Tjekkiet
By	Prague
Periode	13/04/2016 → 16/04/2016

Adgang til dokumentet

10.1109/ISBI.2016.7493330

Citationsformater

Kasenburg, N, Darkner, S, Hahn, U, Liptrot, MG & Feragen, A 2016, Structural parcellation of the thalamus using shortest-path tractography. i 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)., 7493330, IEEE, s. 559-563, 2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016, Prague, Tjekkiet, 13/04/2016. https://doi.org/10.1109/ISBI.2016.7493330

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title = "Structural parcellation of the thalamus using shortest-path tractography",

abstract = "We demonstrate how structural parcellation can be implemented using shortest-path tractography, thereby addressing some of the shortcomings of the conventional approaches. In particular, our algorithm quantifies, via p-values, the confidence that a voxel in the parcellated region is connected to each cortical target region. Calculation of these statistical measures is derived from a rank-based test on the histogram of tract-based scores from all the shortest paths found between the source voxel and each voxel within the target region. Using data from the Human Connectome Project, we show that parcellation of the thalamus results in p-value maps that are spatially coherent across subjects. Comparing to the state-of-the-art parcellation of Behrens et al. [1], we observe some agreement, but the soft segmentation exhibits better stability for voxels connected to multiple target regions.",

author = "Niklas Kasenburg and Sune Darkner and Ute Hahn and Liptrot, {Matthew George} and Aasa Feragen",

year = "2016",

doi = "10.1109/ISBI.2016.7493330",

language = "English",

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booktitle = "2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)",

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AU - Kasenburg, Niklas

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AB - We demonstrate how structural parcellation can be implemented using shortest-path tractography, thereby addressing some of the shortcomings of the conventional approaches. In particular, our algorithm quantifies, via p-values, the confidence that a voxel in the parcellated region is connected to each cortical target region. Calculation of these statistical measures is derived from a rank-based test on the histogram of tract-based scores from all the shortest paths found between the source voxel and each voxel within the target region. Using data from the Human Connectome Project, we show that parcellation of the thalamus results in p-value maps that are spatially coherent across subjects. Comparing to the state-of-the-art parcellation of Behrens et al. [1], we observe some agreement, but the soft segmentation exhibits better stability for voxels connected to multiple target regions.

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