Presentation 2009-05-28
PCA Based Regional Mutual Information for Robust Medical Image Registration
Chen-Lun LIN, Yen-Wei CHEN,
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Abstract(in English) 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.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Mutual Information (MI) / Region Mutual Information (RMI) / PCA Based Region Mutual Information (PRMI) / Principle Components Analysis (PCA)
Paper # IE2009-14,PRMU2009-5,MI2009-5
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Committee IE
Conference Date 2009/5/21(1days)
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Registration To Image Engineering (IE)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) PCA Based Regional Mutual Information for Robust Medical Image Registration
Sub Title (in English)
Keyword(1) Mutual Information (MI)
Keyword(2) Region Mutual Information (RMI)
Keyword(3) PCA Based Region Mutual Information (PRMI)
Keyword(4) Principle Components Analysis (PCA)
1st Author's Name Chen-Lun LIN
1st Author's Affiliation Integrated Science of Engineering, Ritsumeikan University()
2nd Author's Name Yen-Wei CHEN
2nd Author's Affiliation Integrated Science of Engineering, Ritsumeikan University
Date 2009-05-28
Paper # IE2009-14,PRMU2009-5,MI2009-5
Volume (vol) vol.109
Number (no) 63
Page pp.pp.-
#Pages 6
Date of Issue