Structural parcellation of the thalamus using shortest-path tractography

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Structural parcellation of the thalamus using shortest-path tractography. / Kasenburg, Niklas; Darkner, Sune; Hahn, Ute; Liptrot, Matthew George; Feragen, Aasa.

2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI). IEEE, 2016. s. 559-563 7493330.

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

Harvard

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

APA

Kasenburg, N., Darkner, S., Hahn, U., Liptrot, M. G., & Feragen, A. (2016). Structural parcellation of the thalamus using shortest-path tractography. I 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) (s. 559-563). [7493330] IEEE. https://doi.org/10.1109/ISBI.2016.7493330

Vancouver

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

Author

Kasenburg, Niklas ; Darkner, Sune ; Hahn, Ute ; Liptrot, Matthew George ; Feragen, Aasa. / Structural parcellation of the thalamus using shortest-path tractography. 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI). IEEE, 2016. s. 559-563

Bibtex

@inproceedings{18559398c9964810ab5985bf8ca11d8e,
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",
pages = "559--563",
booktitle = "2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)",
publisher = "IEEE",
note = "2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 ; Conference date: 13-04-2016 Through 16-04-2016",

}

RIS

TY - GEN

T1 - Structural parcellation of the thalamus using shortest-path tractography

AU - Kasenburg, Niklas

AU - Darkner, Sune

AU - Hahn, Ute

AU - Liptrot, Matthew George

AU - Feragen, Aasa

PY - 2016

Y1 - 2016

N2 - 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.

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.

U2 - 10.1109/ISBI.2016.7493330

DO - 10.1109/ISBI.2016.7493330

M3 - Article in proceedings

AN - SCOPUS:84978418220

SP - 559

EP - 563

BT - 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)

PB - IEEE

T2 - 2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016

Y2 - 13 April 2016 through 16 April 2016

ER -

ID: 167122413