NDLI: Feature points based image registration between endoscope image and the CT image

Content Provider	IEEE Xplore Digital Library
Author	Guo Xiao-jun Han Li-li Ning Yi
Copyright Year	2011
Description	Author affiliation: Department of Mechanical Engineering, HUANGHE S&T COLLEGE, Zhengzhou, China (Guo Xiao-jun) \|\| Robot Research Institute, Henan University of Technology, Zhengzhou, China (Han Li-li; Ning Yi)
Abstract	According to the special requirements of the minimally invasive surgical robot system, combined the CT images of the lesion site of the patient with the data implied in minimally invasive surgical robot, proposed a new fast feature point based local image registration method, can realize the registration for feature points on special tissue and general tissue. This algorithm introduces Euclidean distance between feature points as the measure of image registration; select the ICP algorithm framework to quickly solve the registration transformation function. Through testing of medical images, experimental results show that the algorithm can match the overall structure of the image information but also align the interested physiological anatomy position of image. Registration results are very satisfactory. This method is a fast, accurate and robust medical image registration method.
Starting Page	2190
Ending Page	2193
File Size	276837
Page Count	4
File Format	PDF
ISBN	9781424480364
e-ISBN	9781424480395
DOI	10.1109/ICEICE.2011.5778261
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lesion site Image registration Feature point Computed tomography Surgery ICP Medical image registration Feature extraction Lesions Spline Biomedical imaging
Content Type	Text
Resource Type	Article

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