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Atlas-Based Segmentation of the Germinal Matrix from in Utero Clinical MRI of the Fetal Brain

Piotr A. Habas1, 2 Contact Information, Kio Kim1, 2 Contact Information, Francois Rousseau3, Orit A. Glenn2, A. James Barkovich2 and Colin Studholme1, 2 Contact Information

(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.

Contact Information Piotr A. Habas
Email: piotr.habas@ucsf.edu
URL: http://radiology.ucsf.edu/bicg

Contact Information Kio Kim

URL: http://radiology.ucsf.edu/bicg

Contact Information Colin Studholme
Email: colin.studholme@ucsf.edu
URL: http://radiology.ucsf.edu/bicg
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