2013 Fiscal Year Final Research Report
Computational Anatomy for Computer-aided Diagnosis and Therapy : Frontiers of Medical Image Sciences
| Project Area | Computational anatomy for computer-aided diagnosis and therapy :Frontiers of medical image sciences |
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| Project/Area Number |
21103001
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| Research Category |
Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
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| Allocation Type | Single-year Grants |
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| Review Section |
Science and Engineering
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| Research Institution | Tokyo University of Agriculture and Technology |
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Principal Investigator |
KOBATAKE Hidefumi 東京農工大学, 工学(系)研究科(研究院), 名誉教授 (80013720)
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| Co-Investigator(Kenkyū-buntansha) |
MEKADA Yoshito 中京大学, 工学部, 教授 (00282377)
FUJITA Hiroshi 岐阜大学, 大学院医学系研究科, 教授 (10124033)
IMIYA Atsushi 千葉大学, 総合メディアセンター, 教授 (10176505)
MORI Kensaku 名古屋大学, 情報連携統括本部, 教授 (10293664)
MASUTANI Yoshitaka 東京大学, 医学部付属病院, 講師 (20345193)
SUZUKI Naoki 東京慈恵会医科大学, 医学部, 教授 (40147327)
NAWANO Shigeru 国際医療福祉大学, 保健医療学部, 教授 (40156005)
UENO Junji 徳島大学, 大学院ヘルスバイオサイエンス研究部, 教授 (60116788)
SATO Yoshinobu 大阪大学, 大学院医学系研究科, 准教授 (70243219)
NIKI Noboru 徳島大学, 大学院ソシオテクノサイエンス研究部, 教授 (80116847)
SHIMIZU Akinobu 東京農工大学, 大学院工学研究院, 准教授 (80262880)
HASHIZUME Makoto 九州大学, 大学院医学系研究院, 教授 (90198664)
KIDO Shoji 山口大学, 大学院医学系研究科, 教授 (90314814)
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| Project Period (FY) |
2009-07-23 – 2014-03-31
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| Keywords | 画像認識 / 画像理解 / 診断支援 / 手術支援 / 臓器構造 / 臓器モデル / モデリング / 統計数理モデル |
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| Research Abstract |
Basic methods for anatomical landmark detection, statistical mathematical modeling of organs, understanding of organ structure, and so on have been developed. They consist of technical bases of computational anatomy and fully-automated understanding of structure of primary organs has been realized. These basic technologies have led to the technological advancement of computer aided diagnosis and computer assisted surgery. Their qualitative increase in safety and effectiveness has been realized.
As one of the activities of the coordination committee, CT image database with 200 cases has been developed. It provides the gold standard of organ segmentation which can be used for evaluating segmentation methods. To accelerate and boost collaboration among our research groups, general-purpose medical-image-processing software has been also developed. Seminars and workshops have been held to foster young researchers in the area of computational anatomy.
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[Presentation] Multi-organ Segmentation Based on Spatially-Divided Probabilistic Atlas from 3D Abdominal CT Images, MICCAI2013
Author(s)
C. Chu, M. Oda, T. Kitasaka, K. Misawa, M. Fujiwara, Y. Hayashi, Y. Nimura, D. Rueckert, K. Mori
Organizer
LNCS 8150, 2013
Year and Date
2013-09-24
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