Registration of contours of brain structures through a heat-kernel representation of shape

Authors:
Jonathan Bates;Ying Wang;Xiuwen Liu;Washington Mio
Affiliations:
Department of Mathematics, Florida State University, Tallahasse, FL;Department of Computer Science, Florida State University, Tallahasse, FL;Department of Computer Science, Florida State University, Tallahasse, FL;Department of Mathematics, Florida State University, Tallahasse, FL
Venue:
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Year:
2009

Citing 2
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ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro

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Abstract

We develop an algorithm for the registration of surfaces representing the contours of various subcortical structures of the human brain. We employ a scale-space representation of shape based on the heat kernel, which only depends on the intrinsic geometry of the surfaces. The multi-scale representation is used in conjunction with the non-linear Iterative Closest Point algorithm based on thin-plate-spline warps to establish point correspondences between shapes. The method is applied to the registration of the contours of four subcortical structures: the hippocampus, caudate nucleus, putamen, and third ventricle.