Breast MR Image Fusion by Deformable Implicit Polynomial (DIP)
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概要
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MR Image fusion is desired in various image-guide breast surgeries. However it often suffers from the difficulty on dealing with large deformation of breast. This paper presents a novel method for efficiently modeling and inferring the physical parameters, including gravity, Young's modulus, Poisson's ratio, etc, which are important elements for handling the biomechanical deformations of breast with finite element model. Our method consists of two major steps: 1) deformation modeling and 2) non-rigid registration. The former builds a deformable implicit polynomial (DIP) model to encode the physical parameters according to deformation. The latter fast registers the prior DIP to the online breast image such that the image fusion can be achieved. Experimental results demonstrate the good performance of our method.
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著者
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Ueno Takayuki
Department Of Bioengineering Graduate School Of Engineering Osaka City University
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Toi Masakazu
Department Of Breast Surgery Graduate School Of Faculty Of Medicine Kyoto University
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Togashi Kaori
Department Of Diagnostic Imaging And Nuclear Medicine Graduate School Of Medicine Kyoto University
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Kanao Shotaro
Department Of Nuclear Medicine And Diagnostic Imaging Kyoto University
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Sugie Tomoharu
Department Of Surgery And Surgical Basic Science Graduate School Of Medicine Kyoto University
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Zheng Bo
IIS, U-Tokyo
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Ishikawa Ryo
Medical Imaging Project, Canon Inc.
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Takamatsu Jun
IIS, U-Tokyo
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Ikeuchi Katsushi
IIS, U-Tokyo
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Endo Takaaki
Medical Imaging Project, Canon Inc.
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Sato Kiyohide
Medical Imaging Project, Canon Inc.
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Kanao Shotaro
Department of Diagnostic Radiology, Kyoto University
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