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Proceedings Paper

Study on non-rigid medical image registration based on optical flow model
Author(s): Xiaoqi Lu; Yongjie Zhao; Baohua Zhang; Hongli Ma
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Paper Abstract

A new method for image registration based on step-by-step registration is proposed. First, SIFT feature algorithm is used to image to get rough registration then optical flow algorithm is used to achieve the final accurate registration. Image feature point extraction is the basis of medical image registration and its accuracy impacts on the matching results directly. SIFT feature algorithm is based on local image features and has a good feature of scale, rotation, illumination invariant. Optical flow algorithm no need to do feature extraction and this method calculation is quick and simple and it uses image intensity information directly. The two steps are complementary that the former prepare for the latter to improve the convergence rate while the latter allows a more accurate registration result. The experimental results show that this algorithm can improve the efficiency of non-rigid medical image registration accuracy and increase convergence speed thus it has certain superiority in terms of image registration.

Paper Details

Date Published: 15 November 2011
PDF: 8 pages
Proc. SPIE 8335, 2012 International Workshop on Image Processing and Optical Engineering, 833516 (15 November 2011); doi: 10.1117/12.917591
Show Author Affiliations
Xiaoqi Lu, Inner Mongolia Univ. of Science and Technology (China)
Yongjie Zhao, Inner Mongolia Univ. of Science and Technology (China)
Baohua Zhang, Inner Mongolia Univ. of Science and Technology (China)
Hongli Ma, Inner Mongolia Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8335:
2012 International Workshop on Image Processing and Optical Engineering
Hai Guo; Qun Ding, Editor(s)

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