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. p. 559-563 7493330.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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