Automatic parcellation of longitudinal cortical surfaces

Manal H. Alassaf; James K. Hahn

doi:10.1117/12.2081739

20 March 2015 Automatic parcellation of longitudinal cortical surfaces

Manal H. Alassaf, James K. Hahn

Proceedings Volume 9413, Medical Imaging 2015: Image Processing; 94130Z (2015) https://doi.org/10.1117/12.2081739
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

Abstract

We present a novel automatic method to parcellate the cortical surfaces of the neonatal brain longitudinal atlas at different stages of development. A labeled brain atlas of newborn at 41 weeks gestational age (GA) is used to propagate labels of anatomical regions of interest to an unlabeled spatio-temporal atlas, which provides a dynamic model of brain development at each week between 28-44 GA weeks. First, labels from the cortical volume of the labeled newborn brain are propagated to an age-matched cortical surface from the spatio-temporal atlas. Then, labels are propagated across the cortical surfaces of each week of the spatio-temporal atlas by registering successive cortical surfaces using a novel approach and an energy optimization function. This procedure incorporates local and global, spatial and temporal information when assigning the labels to each surface. The result is a complete parcellation of 17 neonatal brain surfaces of the spatio-temporal atlas with similar points per labels distributions across weeks.

Citation Download Citation

Manal H. Alassaf and James K. Hahn "Automatic parcellation of longitudinal cortical surfaces", Proc. SPIE 9413, Medical Imaging 2015: Image Processing, 94130Z (20 March 2015); https://doi.org/10.1117/12.2081739

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