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Published in:
2011 | OriginalPaper | Chapter
Consistent Reconstruction of Cortical Surfaces from Longitudinal Brain MR Images
Authors : Gang Li, Jingxin Nie, Dinggang Shen
Published in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011
Publisher: Springer Berlin Heidelberg
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Accurate and consistent reconstruction of cortical surfaces from longitudinal human brain MR images is of great importance in studying subtle morphological changes of the cerebral cortex. This paper presents a new deformable surface method for consistent and accurate reconstruction of inner, central and outer cortical surfaces from longitudinal MR images. Specifically, the cortical surfaces of the group-mean image of all aligned longitudinal images of the same subject are first reconstructed by a deformable surface method driven by a force derived from the Laplace’s equation. And then the longitudinal cortical surfaces are consistently reconstructed by jointly deforming the cortical surfaces from the group-mean image to all longitudinal images. The proposed method has been successfully applied to both simulated and real longitudinal images, demonstrating its validity.