Conference paper
Structural parcellation of the thalamus using shortest-path tractography
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 |
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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 |
Brain modeling Histograms Human Connectome Project Image edge detection Joining processes Neuroscience Probabilistic logic Target tracking biomedical MRI brain cortical target region image segmentation medical image processing multiple target regions neurophysiology p-value maps rank-based test shortest-path tractography source voxel spatially coherent across subjects state-of-the-art Behren parcellation structural parcellation thalamus these statistical measures tract-based scores