Manually segmented template library for 8-year-old pediatric brain MRI data with 16 subcortical structures

Amanmeet Garg; Darren Wong; Karteek Popuri; Kenneth J. Poskitt; Kevin Fitzpatrick; Bruce Bjornson; Ruth E. Grunau; Mirza Faisal Beg

doi:10.1117/1.JMI.1.3.034502

28 October 2014 Manually segmented template library for 8-year-old pediatric brain MRI data with 16 subcortical structures

Amanmeet Garg, Darren Wong, Karteek Popuri, Kenneth J. Poskitt, Kevin Fitzpatrick, Bruce Bjornson, Ruth E. Grunau, Mirza Faisal Beg

Author Affiliations +

Journal of Medical Imaging, Vol. 1, Issue 3, 034502 (October 2014). https://doi.org/10.1117/1.JMI.1.3.034502

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.

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Amanmeet Garg, Darren Wong, Karteek Popuri, Kenneth J. Poskitt, Kevin Fitzpatrick, Bruce Bjornson, Ruth E. Grunau, and Mirza Faisal Beg "Manually segmented template library for 8-year-old pediatric brain MRI data with 16 subcortical structures," Journal of Medical Imaging 1(3), 034502 (28 October 2014). https://doi.org/10.1117/1.JMI.1.3.034502

Published: 28 October 2014

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