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Lyu, Ilwoo
3D Shape Analysis Lab.
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Hierarchical spherical deformation for shape correspondence

Author(s)
Lyu, IlwooStyner, M.A.Landman, B.A.
Issued Date
2018-09-16
DOI
10.1007/978-3-030-00928-1_96
URI
https://scholarworks.unist.ac.kr/handle/201301/80917
Citation
International Conference on Medical Image Computing and Computer Assisted Interventions, pp.853 - 861
Abstract
We present novel spherical deformation for a landmark-free shape correspondence in a group-wise manner. In this work, we aim at both addressing template selection bias and minimizing registration distortion in a single framework. The proposed spherical deformation yields a non-rigid deformation field without referring to any particular spherical coordinate system. Specifically, we extend a rigid rotation represented by well-known Euler angles to general non-rigid local deformation via spatial-varying Euler angles. The proposed method employs spherical harmonics interpolation of the local displacements to simultaneously solve rigid and non-rigid local deformation during the optimization. This consequently leads to a continuous, smooth, and hierarchical representation of the deformation field that minimizes registration distortion. In addition, the proposed method is group-wise registration that requires no specific template to establish a shape correspondence. In the experiments, we show an improved shape correspondence with high accuracy in cortical surface parcellation as well as significantly low registration distortion in surface area and edge length compared to the existing registration methods while achieving fast registration in 3 m per subject. © Springer Nature Switzerland AG 2018.
Publisher
MICCAI 2018
ISSN
0302-9743

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