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Atlas-Based Segmentation of the Germinal Matrix from in Utero Clinical MRI of the Fetal Brain
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Atlas-Based Segmentation of the Germinal Matrix from in Utero Clinical MRI of the Fetal Brain
Piotr A. Habas1, 2 , Kio Kim1, 2 , Francois Rousseau3, Orit A. Glenn2, A. James Barkovich2 and Colin Studholme1, 2 
| (1) |
Biomedical Image Computing Group, |
| (2) |
Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143, USA |
| (3) |
LSIIT, UMR CNRS/ULP 7005, 67412 Illkirch, France |
Abstract
Recently developed techniques for reconstruction of high-resolution 3D images from fetal MR scans allows us to study the morphometry
of developing brain tissues in utero. However, existing adult brain analysis methods cannot be directly applied as the anatomy
of the fetal brain is significantly different in terms of geometry and tissue morphology. We describe an approach to atlas-based
segmentation of the fetal brain with particular focus on the delineation of the germinal matrix, a transient structure related
to brain growth. We segment 3D images reconstructed from in utero clinical MR scans and measure volumes of different brain
tissue classes for a group of fetal subjects at gestational age 20.5–22.5 weeks. We also include a partial validation of the
approach using manual tracing of the germinal matrix at different gestational ages.
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