Research on non-rigid medical image registration algorithm based on SIFT feature extraction.
- Author:
Anna WANG
1
;
Dan LU
;
Zhe WANG
;
Zhizhen FANG
Author Information
1. College of Information Science and Engineering, Northeastern University, Shenyang 110004, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Diagnostic Imaging;
Image Enhancement;
methods;
Image Interpretation, Computer-Assisted;
methods;
Image Processing, Computer-Assisted;
methods;
Pattern Recognition, Automated;
methods
- From:
Journal of Biomedical Engineering
2010;27(4):763-784
- CountryChina
- Language:Chinese
-
Abstract:
In allusion to non-rigid registration of medical images, the paper gives a practical feature points matching algorithm--the image registration algorithm based on the scale-invariant features transform (Scale Invariant Feature Transform, SIFT). The algorithm makes use of the image features of translation, rotation and affine transformation invariance in scale space to extract the image feature points. Bidirectional matching algorithm is chosen to establish the matching relations between the images, so the accuracy of image registrations is improved. On this basis, affine transform is chosen to complement the non-rigid registration, and normalized mutual information measure and PSO optimization algorithm are also chosen to optimize the registration process. The experimental results show that the method can achieve better registration results than the method based on mutual information.
