Development of a universal organ segmentation method based on similar image retrieval and machine-learning by using a large database of medical images
| Project/Area Number |
23500118
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Media informatics/Database
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| Research Institution | Gifu University |
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Principal Investigator |
ZHOU Xiangrong 岐阜大学, 医学(系)研究科(研究院), 助教 (00359738)
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| Project Period (FY) |
2011 – 2013
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2013: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2012: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2011: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
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| Keywords | データベース / 情報システム / 学習と知識獲得 / 画像情報処理 / 医用・生体画像 / 体幹部CT画像 / 臓器の自動抽出 / 医用画像データベース / 機械学習 / 臓器領域の自動抽出 / 画像データベース / 解剖構造の理解 / 類似画像検索 / 国際情報交換「米国」 / 解剖学的構造 / 計算機支援診断 |
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| Research Abstract |
The aim of this research (one procedure solves different organ segmentation problems on medical images) was almost realized. Our research policy for procedure design by using (machine learning and data driven based approach instead of transferring the human experience to computer program directly) was proved to be efficient to solve organ segmentation problems on medical images. We reached a conclusion that (image processing procedures such as organ segmentation can be greatly simplified under the supporting of a large database and well preparations). The algorithm that proposed to (accomplish the automatic organ segmentation within several tens of seconds) was implemented. We evaluated the performance of the algorithm and confirmed that the major organ such as kidney, spleen, and so on can be segmented automatically within one minute from the torso CT images.
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Report
(4 results)
Research Products
(51 results)
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[Journal Article] A new screening pathway for identifying asymptomatic patients using dental panoramic radiographs2012
Author(s)
T.Hayashi, T.Matsumoto, T.Sawagashira, M.Tagami, A.Katsumata, Y.Hayashi, C.Muramatsu, X.Zhou, Y.Iida, M.Matsuoka, K.Katagi, H.Fujita
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Journal Title
Proc. SPIE Medical Imaging
Volume: 8315
Pages: 83152K-83152K
DOI
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[Presentation] A01-3 Model Construction for Computational Anatomy: Progress Overview FY20122013
Author(s)
H.Fujita, T.Hara, X.Zhou, C.Muramatsu, N.Kamiya, M.Zhang, D.Fukuoka, Y.Hatanaka, T.Matsubara, A.Teramoto, Y.Uchiyama, H.Chen, and H.Hoshi
Organizer
Proc. of the Fourth International Symposium on the Project “Computational Anatomy
Place of Presentation
大阪大学
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[Presentation] Osteoporosis screening by use of automated scheme for measuring mandibular cortical thickness on dental panoramic radiographs2012
Author(s)
T.Matsumoto, T.Hayashi, T.Hara, A.Katsumata, C.Muramatsu, X.Zhou, Y.Iida, M.Matsuoka, K.Katagi, E.Ariji, S.Mori, T.Kaneda, H.Fujita
Organizer
メディカルイメージング連合フォーラム
Place of Presentation
沖縄
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[Presentation] Automatic method for measuring mandibular cortical thickness by using active contour model on dental panoramic radiographs2011
Author(s)
T.Matsumto, T.Hayashi, T.hara, A.Katsumata, C.Muramatsu, X.Zhou, Y.Iida, M.Matsuoka, K.Katagi, E.Ariji, S.Mori, T.Kaneda, H.Fujita
Organizer
医用画像研究会
Place of Presentation
北海道
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[Presentation] Effect of Screening for Systemic Diseases Using Panoramic Radiographs: The New Role of Preventive Care in Dentistry2011
Author(s)
H. Fujita, T. Hayashi, T. Sawagashira, T. Matsumoto, T. Hara, A. Katsumata, Y. Hayashi, M. Tagami, C. Muramatsu, X. Zhou, Y. Iida, M. Matsuoka, K. Katagi
Organizer
第97回北米放射線学会
Place of Presentation
シカゴ，アメリカ
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