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	Feature-based GDLOH deformable registration for Ct lung image
	Yang Yuhan; Xie Yaoqin
	2013
会议名称	2013 2nd International Conference on Measurement, Instrumentation and Automation, ICMIA 2013
会议地点	Guilin, China
英文摘要	To improve the efficiency and accuracy of the conventional SIFT-TPS (Scale-invariant feature transform and Thin-Plate Spline) method in deformable registration for CT lung image, we develop a novel approach by using combining SURF(Speeded up Robust Features) and GDLOH(Gradient distance-location-orientation histogram) to detect matching feature points. First, we employ SURF as feature detection to find the stable feature points of the two CT images rapidly. Then GDLOH is taken as feature descriptor to describe each detected points characteristic, in order to supply measurement tool for matching process. In our experiment, five couples of clinical images are simulated using our algorithm above, result in an obvious improvement in run-time and registration quality, compared with the conventional methods. It is demonstrated that the proposed method may create a new window in performing a good robust and adaptively for deformable registration for CT lung tomography.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/5023]
专题	深圳先进技术研究院_医工所
作者单位	2013
推荐引用方式 GB/T 7714	Yang Yuhan,Xie Yaoqin. Feature-based GDLOH deformable registration for Ct lung image[C]. 见:2013 2nd International Conference on Measurement, Instrumentation and Automation, ICMIA 2013. Guilin, China.

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