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| 3D deformable registration algorithm of CT lung images based on
point set and mutual information |
| 1.Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin 130000, China; 2.Medical Imaging Department, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu 215163, China; 3.University of Chinese Academy of Sciences, Beijing 100049, China |
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Abstract To solve the disadvantages of timeconsuming and low accuracy in 3D deformable registration algorithm of CT lung images based on mutual information, a new registration method was proposed based on hybrid framework. The mutual information registration was combined with point set registration in the algorithm. Point set registration was performed to obtain the point set displacement vectors, and the transformation function was determined. The resulted transformation function was refined based on mutual information. The registration algorithm for lung regions was performed on 4 sets of 3D CT images, and the registration accuracy was evaluated by landmarks. The results of 3D CT lung images registration show that the hybrid registration algorithm is superior to the mutual information registration method with 70% time reduction and 5% registration accuracy improving on average. The proposed method is fit for 4D CT lung images rapid registration.
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2014, Vol. 35 
