A topological feature constraint for nonrigid registration

Xiangbo Lin, Xin-Ning Wang
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Abstract

To satisfy the topology preservation requirement in deformable image registration, this research adopts a topological feature, the sign of the polygon area, as a regularization constraint. The reasonability and effectiveness of the proposed model are validated using synthetic image registration and inter-subject brain MRI image registration experiments.
一种非刚性配准的拓扑特征约束
为了满足可变形图像配准中的拓扑保持要求,本研究采用拓扑特征——多边形面积的符号作为正则化约束。通过合成图像配准和脑MRI图像配准实验,验证了该模型的合理性和有效性。
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