Research of Medical Image Non-Rigid Registration Based on TPS-SEMISURF Algorithm

Ao Shuang Dong; Ben Qiang Yang; Dan Yang  Zhao; Bao Chun He; Li Bo Zhang; Guang Ming  Yang; Qiang Tong; Tian Han Gao; Hui Yan Jiang

doi:10.4028/www.scientific.net/AMR.791-793.2112

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 791-793Research of Medical Image Non-Rigid Registration...

Research of Medical Image Non-Rigid Registration Based on TPS-SEMISURF Algorithm

Abstract:

Aiming at avoiding misregistration in complicated medical image registration based on SURF (Speed-Up Robust Features)-TPS (Thin-Plate Spline), we propose a novel algorithm. This method is based on SURF and human interaction method for feature extraction. Then we improve SURF-TPS and propose an algorithm named TPS-SEMISURF which obtains the deformation field by calculating the Thin-plate spline of the feature points, and finally does the medical image non-rigid registration according to the parameters. Experimental results showed that the proposed method can register medical images effectively. It has a good robustness and owns better precision and rate than traditional algorithm.

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Periodical:

Advanced Materials Research (Volumes 791-793)

Pages:

2112-2117

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.791-793.2112

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Online since:

September 2013

Authors:

Ao Shuang Dong, Ben Qiang Yang, Dan Yang Zhao, Bao Chun He, Li Bo Zhang, Guang Ming Yang, Qiang Tong, Tian Han Gao, Hui Yan Jiang

Keywords:

Feature Point Extraction, Image Registration, SURF Algorithm

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