Atlas‐based segmentation of developing tissues in the human brain with quantitative validation in young fetuses
Open Access
- 17 August 2010
- journal article
- research article
- Published by Wiley in Human Brain Mapping
- Vol. 31 (9), 1348-1358
- https://doi.org/10.1002/hbm.20935
Abstract
Imaging of the human fetus using magnetic resonance (MR) is an essential tool for quantitative studies of normal as well as abnormal brain development in utero. However, because of fundamental differences in tissue types, tissue properties and tissue distribution between the fetal and adult brain, automated tissue segmentation techniques developed for adult brain anatomy are unsuitable for this data. In this paper, we describe methodology for automatic atlas‐based segmentation of individual tissue types in motion‐corrected 3D volumes reconstructed from clinical MR scans of the fetal brain. To generate anatomically correct automatic segmentations, we create a set of accurate manual delineations and build an in utero 3D statistical atlas of tissue distribution incorporating developing gray and white matter as well as transient tissue types such as the germinal matrix. The probabilistic atlas is associated with an unbiased average shape and intensity template for registration of new subject images to the space of the atlas. Quantitative whole brain 3D validation of tissue labeling performed on a set of 14 fetal MR scans (20.57–22.86 weeks gestational age) demonstrates that this atlas‐based EM segmentation approach achieves consistently high DSC performance for the main tissue types in the fetal brain. This work indicates that reliable measures of brain development can be automatically derived from clinical MR imaging and opens up possibility of further 3D volumetric and morphometric studies with multiple fetal subjects. Hum Brain Mapp, 2010.This publication has 40 references indexed in Scilit:
- Intersection Based Motion Correction of Multislice MRI for 3-D in Utero Fetal Brain Image FormationIEEE Transactions on Medical Imaging, 2009
- Abnormal Sulcal Formation in Fetuses with Ventriculomegaly Identified by Surface Curvature Mapping from Motion-Corrected Clinical MRINeuroImage, 2009
- Exploring Cortical Subplate Evolution Using Magnetic Resonance Imaging of the Fetal BrainDevelopmental Neuroscience, 2007
- Automatic segmentation and reconstruction of the cortex from neonatal MRINeuroImage, 2007
- Quantitative MRI measurements of human fetal brain development in uteroNeuroImage, 2006
- Fetal Brain MRI: Segmentation and Biometric Analysis of the Posterior FossaIEEE Transactions on Biomedical Engineering, 2004
- An overlap invariant entropy measure of 3D medical image alignmentPattern Recognition, 1999
- Morphometric analysis of white matter lesions in MR images: method and validationIEEE Transactions on Medical Imaging, 1994
- The mean field theory in EM procedures for blind Markov random field image restorationIEEE Transactions on Image Processing, 1993
- Measures of the Amount of Ecologic Association Between SpeciesEcology, 1945