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Conference paper

Structural parcellation of the thalamus using shortest-path tractography

From

University of Copenhagen1

Aarhus University2

Department of Applied Mathematics and Computer Science, Technical University of Denmark3

Cognitive Systems, Department of Applied Mathematics and Computer Science, Technical University of Denmark4

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.

Language: English
Publisher: IEEE
Year: 2016
Pages: 559-563
Proceedings: 2016 IEEE International Symposium on Biomedical ImagingIEEE International Symposium on Biomedical Imaging
Series: International Symposium on Biomedical Imaging. Proceedings
ISBN: 1479923494 , 1479923516 , 9781479923496 and 9781479923519
ISSN: 19458452 and 19457928
Types: Conference paper
DOI: 10.1109/ISBI.2016.7493330
ORCIDs: 0000-0001-5059-6293 , 0000-0001-5910-7417 , 0000-0001-6114-7100 , Liptrot, Matthew George and 0000-0002-9945-981X

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