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 Japanese) | (See Japanese page) |
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 |
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Conference Date | 2009/5/21(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Image Engineering (IE) |
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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 |