Interactive Multigrid refinement for deformable image registration

	Interactive Multigrid refinement for deformable image registration
	Wu Zhou; Yaoqin Xie
刊名	BioMed research international
	2013
英文摘要	Deformable image registration is the spatial mapping of corresponding locations between images and can be used for important applications in radiotherapy. Although numerous methods have attempted to register deformable medical images automatically, such as salient-feature-based registration (SFBR), free-form deformation (FFD), and demons, no automatic method for registration is perfect, and no generic automatic algorithm has shown to work properly for clinical applications due to the fact that the deformation field is often complex and cannot be estimated well by current automatic deformable registration methods. This paper focuses on how to revise registration results interactively for deformable image registration. We can manually revise the transformed image locally in a hierarchical multigrid manner to make the transformed image register well with the reference image. The proposed method is based on multilevel B-spline to interactively revise the deformable transformation in the overlapping region between the reference image and the transformed image. The resulting deformation controls the shape of the transformed image and produces a nice registration or improves the registration results of other registration methods. Experimental results in clinical medical images for adaptive radiotherapy demonstrated the effectiveness of the proposed method.
收录类别	SCI
原文出处	http://www.hindawi.com/journals/bmri/2013/532936/
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/4869]
专题	深圳先进技术研究院_医工所
作者单位	BioMed research international
推荐引用方式 GB/T 7714	Wu Zhou,Yaoqin Xie. Interactive Multigrid refinement for deformable image registration[J]. BioMed research international,2013.
APA	Wu Zhou,&Yaoqin Xie.(2013).Interactive Multigrid refinement for deformable image registration.BioMed research international.
MLA	Wu Zhou,et al."Interactive Multigrid refinement for deformable image registration".BioMed research international (2013).