2018 Fiscal Year Final Research Report
Function Integrated Diagnostic Assistance based on Multidisciplinary Computational Anatomy Models
| Project Area | Multidisciplinary computational anatomy and its application to highly intelligent diagnosis and therapy |
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| Project/Area Number |
26108005
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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 | Gifu University |
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Principal Investigator |
Fujita Hiroshi 岐阜大学, 工学部, 特任教授・名誉教授 (10124033)
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| Co-Investigator(Kenkyū-buntansha) |
原 武史 岐阜大学, 工学部, 准教授 (10283285)
周 向栄 岐阜大学, 工学部, 助教 (00359738)
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| Research Collaborator |
AZUMA Kagaku
UCHIYAMA Yoshikazu
KATAFUCHI Tetsuro
KAMIYA Naoki
TERAMOTO Atsushi
HATANAKA Yuji
FUKUOKA Daisuke
MATSUO Masayuki
MATSUBARA Tomoko
MIYATI Toshiaki
MURAMATSU Chisako
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| Project Period (FY) |
2014-07-10 – 2019-03-31
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| Keywords | 医用画像処理・解析 / 筋肉画像解析 / 医用画像診断支援 / ALS / 全身CT画像 / 多元計算解剖学 |
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| Outline of Final Research Achievements |
In the project study of "Multi-disciplinary Computational Anatomy", in this project group, research was mainly conducted on development of functional diagnosis support system for several "functional images". In particular, we have been engaged in the developments of diagnosis support system, 1) the function diagnosis support system in nuclear medicine images, 2) physical function in CT and ultrasound images (osteoarthritis / muscle) , and have achieved the basic research, basic system development, and some clinical level system development. Not only conventional shape models and machine learning methods, we have obtained a great deal of results by the application of deep learning technology, and we widely published these results through many papers and research presentations at home and abroad.
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| Free Research Field |
医用画像処理工学
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| Academic Significance and Societal Importance of the Research Achievements |
本研究成果により，「多元計算解剖学」プロジェクト研究において「機能画像」もより高度に含有することが可能になった．ディープラーニングを初めとする人工知能（AI）を多元計算解剖学に取り入れた機能診断支援システムの各種の開発技術は，今後の臨床システム開発において有益な成果となり，多くの疾患を救うことに寄与されるであろうと信ずる．
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