A Robust Medical Image Registration Algorithm Based on the SAM of Multi-Scale Harris Corners

2009 ◽  
Author(s):  
Ying Ding ◽  
Jing-tao Fan ◽  
Hua-min Yang
Keyword(s):  
Image Registration ◽  
Medical Image ◽  
Medical Image Registration ◽  
Multi Scale ◽  
Registration Algorithm ◽  
Image Registration Algorithm

Multiple 2D video/3D medical image registration algorithm

2000 ◽  
Author(s):  
Matthew J. Clarkson ◽  
Daniel Rueckert ◽  
Derek L. Hill ◽  
David J. Hawkes
Keyword(s):  
Image Registration ◽  
Medical Image ◽  
Medical Image Registration ◽  
Registration Algorithm ◽  
Image Registration Algorithm

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).

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