期刊
NEUROIMAGE
卷 53, 期 2, 页码 460-470出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2010.06.054
关键词
Structural MRI; Fetal imaging; Atlas building; Tissue segmentation
资金
- NIH/NINDS [R01 NS 055064, K23 NS 052506]
- NIH/NCRR UCSF-CTSI [UL1 RR 024131]
- European Research Council under the European Community [207667]
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 (C) 2010 Elsevier Inc All rights reserved
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