Meta anatomical information-oriented medical image processing - new medical image processing in post big data era
| Project/Area Number |
26560255
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Medical systems
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| Research Institution | Nagoya University |
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Principal Investigator |
Mori Kensaku 名古屋大学, 情報連携統括本部, 教授 (10293664)
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| Co-Investigator(Kenkyū-buntansha) |
小田 昌宏 名古屋大学, 情報科学研究科, 助教 (30554810)
三澤 一成 愛知県がんセンター(研究所), 分子腫瘍学部, 研究員 (70538438)
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| Research Collaborator |
Daniel Ruckert インペリアルカレッジロンドン
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2016: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2015: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2014: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | 医用画像処理 / セグメンテーション / 機械学習 / 解剖構造認識 / メタ解剖 / コンピュータ支援画像診断 / コンピュータ外科 |
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| Outline of Final Research Achievements |
This project aims to create new academic field called Meta anatomical information-oriented medical image processing under the prediction on big change of medical imaging devices. The research project achieved research outcomes in the topics including: (a) definition of target organs in meta-anatomy and its database format, (b) meta-anatomical structure recognition based on conditional random field, (c) meta-anatomical structure extraction from deep learning, (4) automated estimation of bounding boxes of target organ areas, (5) atlas-based anatomical structure recognition using meta-anatomical information database, (6) automated anatomical label assignments to blood vessels based on conditional random field, and (7) evaluation from clinical viewpoints.
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Report
(4 results)
Research Products
(55 results)
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[Presentation] Regression Forest-Based Atlas Localization and Direction Specific Atlas Generation for Pancreas Segmentation2016
Author(s)
Masahiro Oda, Natsuki Shimizu, Kenichi Karasawa, Yukitaka Nimura, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert, and Kensaku Mori
Organizer
MICCAI 2016
Place of Presentation
Intercontinental Atheneum, Greece, ATHENS
Year and Date
2016-10-17
Related Report
Int'l Joint Research
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[Presentation] Ensemble lymph node detection from CT volumes combining local intensity structure analysis approach and appearance learning approach2016
Author(s)
Yoshihiko Nakamura, Yukitaka Nimura, Takayuki Kitasaka, Kazuhiro Furukawa, Hidemi Goto, Michitaka Fujiwara, Kazunari Misawa, and Kensaku Mori
Organizer
SPIE Medical Imaging 2016
Place of Presentation
Town & Country Resort and Convention Center, San Diego, California, USA
Year and Date
2016-02-28
Related Report
Int'l Joint Research
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