A Novel Medical Image Registration Algorithm for Combined PET-CT Scanners Based on Improved Mutual Information of Feature Points

2011 ◽  
Vol 1 (5) ◽  
pp. 11-18
Author(s):  
Shuo JIN ◽  
Hongjun WANG ◽  
Dengwang LI ◽  
Yong YIN
Keyword(s):  
Image Registration ◽  
Mutual Information ◽  
Medical Image ◽  
Medical Image Registration ◽  
Feature Points ◽  
Registration Algorithm ◽  
Image Registration Algorithm ◽  
Pet Ct ◽  
Ct Scanners

Effect of Measure and Interpolation Methods for Intensity-Based Medical Image Registration

2013 ◽  
Vol 647 ◽  
pp. 612-617
Author(s):  
Guo Dong Zhang ◽  
Xiao Hu Xue ◽  
Wei Guo
Keyword(s):  
Image Registration ◽  
Mutual Information ◽  
Medical Image ◽  
Medical Image Registration ◽  
Registration Accuracy ◽  
Partial Volume ◽  
Interpolation Methods ◽  
Registration Algorithm ◽  
Image Registration Algorithm ◽  
Local Extreme

The local extreme is main reason to hamper the optimization process and influence the registration accuracy in medical image registration algorithm. In general, the accuracy of image registration based on mutual information is afforded by interpolation methods. In this paper, we analyze the effect of the measure and interpolation methods for medical image registration and present a medical image registration algorithm using mutual strictly concave function measure and partial volume (PV) interpolation methods. The experiment results show that for images with low local correlation the algorithm has the ability to reduce the local extreme, the registration accuracy is improved, and the algorithm expended less time than mutual information based registration method with partial volume (PV) or generalized partial volume estimation (GPVE).

Medical Image Registration Based on Generalized Mutual Information and PSO-Simplex Search

2011 ◽  
Vol 403-408 ◽  
pp. 3244-3248
Author(s):  
Chao Chen ◽  
Guo Dong Zhang ◽  
Rui Yang ◽  
Peng Fei Huo
Keyword(s):  
Image Registration ◽  
Mutual Information ◽  
Medical Image ◽  
Search Strategy ◽  
Image Data ◽  
Local Extremum ◽  
Medical Image Registration ◽  
Simplex Search ◽  
Entropy Information ◽  
Image Registration Algorithm

A medical image registration algorithm based on Renyi generalized mutual information entropy information function and particle swarm - simplex search strategy is proposed in order to overcome the problem of local extremum in the target search. After the simulation of medical image data, the results show that the algorithm can get rapid and accurate registration results.

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