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A spatiotemporal atlas of MR intensity, tissue probability and shape of the fetal brain with application to segmentation.

Abstract：

:Modeling and analysis of MR images of the developing human brain is a challenge due to rapid changes in brain morphology and morphometry. We present an approach to the construction of a spatiotemporal atlas of the fetal brain with temporal models of MR intensity, tissue probability and shape changes. This spatiotemporal model is created from a set of reconstructed MR images of fetal subjects with different gestational ages. Groupwise registration of manual segmentations and voxelwise nonlinear modeling allow us to capture the appearance, disappearance and spatial variation of brain structures over time. Applying this model to atlas-based segmentation, we generate age-specific MR templates and tissue probability maps and use them to initialize automatic tissue delineation in new MR images. The choice of model parameters and the final performance are evaluated using clinical MR scans of young fetuses with gestational ages ranging from 20.57 to 24.71 weeks. Experimental results indicate that quadratic temporal models can correctly capture growth-related changes in the fetal brain anatomy and provide improvement in accuracy of atlas-based tissue segmentation.

journal_name

Neuroimage

journal_title

NeuroImage

authors

Habas PA,Kim K,Corbett-Detig JM,Rousseau F,Glenn OA,Barkovich AJ,Studholme C

doi

10.1016/j.neuroimage.2010.06.054

subject

Has Abstract

pub_date

2010-11-01 00:00:00

pages

460-70

issue

2

eissn

1053-8119

issn

1095-9572

pii

S1053-8119(10)00912-2

journal_volume

53

pub_type

杂志文章

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