Comparison of Optimization Methods for Rigid Medical Image Registration

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概要

• 論文の詳細を見る

• 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.

• 社団法人電子情報通信学会の論文
• 2005-05-13

著者

• Chen Yen

  College Of Information Science And Engineering Ritsumeikan University

• Chen Y‐w

  College Of Information Science And Engineering Ritsumeikan University

• Xu Rui

  College of Information Science and Engineering, Ritsumeikan University

• Chen Yen-wei

  College Of Information And Science Ristumeikan University

• Morikawa Shigehiro

  The Biomedical Mr Science Center Shiga University Of Medical Science

• Xu Rui

  The Graduate School Of Engineering And Science Ritsumeikan University

• Morikawa Shigehiro

  Shiga University of Medical and Science

• Xu Rui

  College Of Information And Science Ristumeikan University

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