一种非刚性配准的拓扑特征约束

2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI:10.1109/ChinaSIP.2014.6889272

Xiangbo Lin, Xin-Ning Wang

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引用次数: 0

摘要

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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A topological feature constraint for nonrigid registration

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.

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2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)

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