Topology-guided deformable registration with local importance preservation for biomedical images

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成果类型：

期刊论文

作者：

Zheng, Chaojie;Wang, Xiuying*;Zeng, Shan;Zhou, Jianlong;Yin, Yong;...

通讯作者：

Wang, Xiuying

作者机构：

[Zheng, Chaojie; Feng, Dagan; Wang, Xiuying] Univ Sydney, Sch Informat Technol, Sydney, NSW, Australia.

[Zeng, Shan] Wuhan Polytech Univ, Coll Math & Comp Sci, Wuhan, Hubei, Peoples R China.

[Zhou, Jianlong] CSIRO, Data61, Sydney, NSW, Australia.

[Yin, Yong] Shandong Tumor Hosp, Dept Radiat Oncol, Jinan, Shandong, Peoples R China.

[Feng, Dagan] Shanghai Jiao Tong Univ, Med X Res Inst, Shanghai, Peoples R China.

通讯机构：

[Wang, Xiuying] U

Univ Sydney, Sch Informat Technol, Sydney, NSW, Australia.

语种：

英文

关键词：

deformable registration;topology guidance;local importance preservation;demons;topology tree

期刊：

PHYSICS IN MEDICINE AND BIOLOGY

ISSN：

0031-9155

年：

2018

卷：

期：

页码：

015028

DOI：

10.1088/1361-6560/aa9917

机构署名：

本校为其他机构

院系归属：

数学与计算机学院

摘要：

The demons registration (DR) model is well recognized for its deformation capability. However, it might lead to misregistration due to erroneous diffusion direction when there are no overlaps between corresponding regions. We propose a novel registration energy function, introducing topology energy, and incorporating a local energy function into the DR in a progressive registration scheme, to address these shortcomings. The topology energy that is derived from the topological information of the images serves as a direction inference to guide diffusion transformation to retain the merits of DR....

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Topology-guided deformable registration with local importance preservation for biomedical images

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