Presentation 2005-05-20
Comparison of Optimization Methods for Rigid Medical Image Registration
Rui Xu, Yen wei Chen, Shigehiro Morikawa,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Medical Image Registration can be seen as an optimization problem, maximizing or minimizing a cost function by optimization techniques. In this paper, we evaluate the performances of different kinds of optimization methods, such as Powell's method, downhill simplex, gradient descent, regular step gradient descent, conjugate gradient descent and simulated annealing, for rigid medical image registration. Cost function is based on mutual information and all of the optimization methods are cooperated with a multiresolution strategy. Experiments show that gradient-based methods are better than non-gradient based methods and they are superior when the cost function is biased by some noise.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Optimization / Mutual Information / Medical Image Registration
Paper # PRMU2005-14,MI2005-14
Date of Issue

Conference Information
Committee PRMU
Conference Date 2005/5/13(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Comparison of Optimization Methods for Rigid Medical Image Registration
Sub Title (in English)
Keyword(1) Optimization
Keyword(2) Mutual Information
Keyword(3) Medical Image Registration
1st Author's Name Rui Xu
1st Author's Affiliation College of Information and Science, Ristumeikan University()
2nd Author's Name Yen wei Chen
2nd Author's Affiliation College of Information and Science, Ristumeikan University
3rd Author's Name Shigehiro Morikawa
3rd Author's Affiliation Shiga University of Medical and Science
Date 2005-05-20
Paper # PRMU2005-14,MI2005-14
Volume (vol) vol.105
Number (no) 63
Page pp.pp.-
#Pages 6
Date of Issue