2002 Fiscal Year Final Research Report Summary
Development of computer aided diagnosis system using deformation of three-dimensional medical images
Project/Area Number |
12558032
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Research Category |
Grant-in-Aid for Scientific Research (B)
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Allocation Type | Single-year Grants |
Section | 展開研究 |
Research Field |
Intelligent informatics
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Research Institution | Nagoya University |
Principal Investigator |
HIRANO Yasushi Nagoya University, Information Technology Center, Research Associate, 情報連携基盤センター, 助手 (90324459)
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Co-Investigator(Kenkyū-buntansha) |
SUENAGA Yasuhito Nagoya University, Faculty of Engineering, Professor, 工学研究科, 教授 (60293643)
MORI Kensaku Nagoya University, Research Center for Advanced Waste and Emission Management, Associate Professor, 難処理人工物研究センター, 助教授 (10293664)
TORIWAKI Junichiro Nagoya University, Faculty of Engineering, Professor, 工学研究科, 教授 (30023138)
MEKADA Yoshito Nagoya University, Faculty of Engineering, Associate Professor, 工学研究科, 助教授 (00282377)
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Project Period (FY) |
2000 – 2002
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Keywords | Medical image processing / Surgical simulation / Virtual stretching / Virtual Reality / Elastic deformation / Volume rendering / Cross section / Three-dimensional image processing |
Research Abstract |
New methods to observe medical images were developed. Deformations of organs or human bodies are applied in the methods. In concrete terms, (l) method to generate virtual stretched views from abdominal CT images, (2) method to show arbitrary cross sections to observe carved organs, (3) method to deform abdominal walls for surgical simulations using abdominal CT images, and (4) method to generate cuts for surgical simulations, were developed. These methods enable us to observe virtual pathological specimens or to design plans using surgical simulator preoperatively. The reduction of burdens of medical doctors and pains of patients is expected using the methods. The methods to specify three-dimensional point in volume rendered image was also developed. Generally, there is no way to specify the three-dimensional point from projection plane in volume rendered image. The method can be utilized to specify cut lines and to obtain information of CT value at ROI (Region of Interest).
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