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Atlas-based segmentation of the germinal matrix from in utero clinical MRI of the fetal brain.

Authors
  • Habas, Piotr A
  • Kim, Kio
  • Rousseau, Francois
  • Glenn, Orit A
  • Barkovich, A James
  • Studholme, Colin
Type
Published Article
Journal
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Publication Date
Jan 01, 2008
Volume
11
Issue
Pt 1
Pages
351–358
Identifiers
PMID: 18979766
Source
Medline
License
Unknown

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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