PCA based regional mutual information for robust medical image registration (パターン認識・メディア理解)

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概要

• 論文の詳細を見る

• Mutual information (MI) has emerged in recent years as an effective similarity metric measuring registration of images. One drawback of MI is that it just takes into account only the relationships between corresponding pixels, that is, the spatial information of images is not utilized. To overcome this problem, regional mutual information (RMI) has been proposed and demonstrated that it effectively includes the spatial information of images and much robust than MI. However, RMI has to spend too much computing time for calculating a high dimension joint distribution. For improvement, we propose a novel PCA based regional mutual information (PRMI) to implement a more robust and faster medical image registration.

• 社団法人電子情報通信学会の論文
• 2009-05-21

著者

• Chen Yen-wei

  Integrated Science Of Engineering Ritsumeikan University

• LIN Chen-Lun

  Integrated Science of Engineering, Ritsumeikan University

• Lin Chen-lun

  Integrated Science Of Engineering Ritsumeikan University

関連論文

• PCA based regional mutual information for robust medical image registration (画像工学)
• PCA based regional mutual information for robust medical image registration (医用画像)
• PCA based regional mutual information for robust medical image registration (パターン認識・メディア理解)

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