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Journal of Medical Imaging

Manually segmented template library for 8-year-old pediatric brain MRI data with 16 subcortical structures
Author(s): Amanmeet Garg; Darren Wong; Karteek Popuri; Kenneth J. Poskitt; Kevin Fitzpatrick; Bruce Bjornson; Ruth E. Grunau; Mirza Faisal Beg
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Paper Abstract

Manual segmentation of anatomy in brain MRI data taken to be the closest to the “gold standard” in quality is often used in automated registration-based segmentation paradigms for transfer of template labels onto the unlabeled MRI images. This study presents a library of template data with 16 subcortical structures in the central brain area which were manually labeled for MRI data from 22 children (8 male, mean age=8±0.6  years). The lateral ventricle, thalamus, caudate, putamen, hippocampus, cerebellum, third vevntricle, fourth ventricle, brainstem, and corpuscallosum were segmented by two expert raters. Cross-validation experiments with randomized template subset selection were conducted to test for their ability to accurately segment MRI data under an automated segmentation pipeline. A high value of the dice similarity coefficient (0.86±0.06, min=0.74, max=0.96) and small Hausdorff distance (3.33±4.24, min=0.63, max=25.24) of the automated segmentation against the manual labels was obtained on this template library data. Additionally, comparison with segmentation obtained from adult templates showed significant improvement in accuracy with the use of an age-matched library in this cohort. A manually delineated pediatric template library such as the one described here could provide a useful benchmark for testing segmentation algorithms.

Paper Details

Date Published: 28 October 2014
PDF: 10 pages
J. Med. Img. 1(3) 034502 doi: 10.1117/1.JMI.1.3.034502
Published in: Journal of Medical Imaging Volume 1, Issue 3
Show Author Affiliations
Amanmeet Garg, Simon Fraser Univ. (Canada)
Darren Wong, The Univ. of British Columbia (Canada)
Karteek Popuri, Simon Fraser Univ. (Canada)
Kenneth J. Poskitt, The Univ. of British Columbia (Canada)
Kevin Fitzpatrick, The Univ. of British Columbia (Canada)
Child & Family Research Institute (Canada)
Bruce Bjornson, The Univ. of British Columbia (Canada)
Child & Family Research Institute (Canada)
Ruth E. Grunau, The Univ. of British Columbia (Canada)
Child & Family Research Institute (Canada)
Mirza Faisal Beg, Simon Fraser Univ. (Canada)


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