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Breast MR Image Fusion by Deformable Implicit Polynomial (DIP)
https://ipsj.ixsq.nii.ac.jp/records/94707
https://ipsj.ixsq.nii.ac.jp/records/94707baac880c-71cf-4aba-ad0c-42bcda428d4c
名前 / ファイル | ライセンス | アクション |
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Copyright (c) 2013 by the Information Processing Society of Japan
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オープンアクセス |
Item type | Trans(1) | |||||||
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公開日 | 2013-07-29 | |||||||
タイトル | ||||||||
タイトル | Breast MR Image Fusion by Deformable Implicit Polynomial (DIP) | |||||||
タイトル | ||||||||
言語 | en | |||||||
タイトル | Breast MR Image Fusion by Deformable Implicit Polynomial (DIP) | |||||||
言語 | ||||||||
言語 | eng | |||||||
キーワード | ||||||||
主題Scheme | Other | |||||||
主題 | [Regular Paper - Express Paper] breast MR image, non-rigid image registration, implicit polynomial | |||||||
資源タイプ | ||||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||
資源タイプ | journal article | |||||||
著者所属 | ||||||||
IIS, U-Tokyo | ||||||||
著者所属 | ||||||||
Medical Imaging Project, Canon Inc. | ||||||||
著者所属 | ||||||||
IIS, U-Tokyo | ||||||||
著者所属 | ||||||||
IIS, U-Tokyo | ||||||||
著者所属 | ||||||||
Medical Imaging Project, Canon Inc. | ||||||||
著者所属 | ||||||||
Medical Imaging Project, Canon Inc. | ||||||||
著者所属 | ||||||||
Department of Breast Surgery, Kyoto University | ||||||||
著者所属 | ||||||||
Department of Surgery, Kansai Medical University | ||||||||
著者所属 | ||||||||
Department of Breast Surgery, Kyoto University | ||||||||
著者所属 | ||||||||
Department of Diagnostic Radiology, Kyoto University | ||||||||
著者所属 | ||||||||
Department of Diagnostic Radiology, Kyoto University | ||||||||
著者所属(英) | ||||||||
en | ||||||||
IIS, U-Tokyo | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Medical Imaging Project, Canon Inc. | ||||||||
著者所属(英) | ||||||||
en | ||||||||
IIS, U-Tokyo | ||||||||
著者所属(英) | ||||||||
en | ||||||||
IIS, U-Tokyo | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Medical Imaging Project, Canon Inc. | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Medical Imaging Project, Canon Inc. | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Department of Breast Surgery, Kyoto University | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Department of Surgery, Kansai Medical University | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Department of Breast Surgery, Kyoto University | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Department of Diagnostic Radiology, Kyoto University | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Department of Diagnostic Radiology, Kyoto University | ||||||||
著者名 |
Bo, Zheng
× Bo, Zheng
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著者名(英) |
Bo, Zheng
× Bo, Zheng
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論文抄録 | ||||||||
内容記述タイプ | Other | |||||||
内容記述 | 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. | |||||||
論文抄録(英) | ||||||||
内容記述タイプ | Other | |||||||
内容記述 | 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. | |||||||
書誌情報 |
IPSJ Transactions on Computer Vision and Applications (CVA) 巻 5, p. 99-103, 発行日 2013-07-29 |
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ISSN | ||||||||
収録物識別子タイプ | ISSN | |||||||
収録物識別子 | 1882-6695 | |||||||
出版者 | ||||||||
言語 | ja | |||||||
出版者 | 情報処理学会 |