| Project/Area Number |
07558255
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 展開研究 |
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| Research Field |
Biomedical engineering/Biological material science
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| Research Institution | University of Tokushima |
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Principal Investigator |
NIKI Noboru University of Tokushima, Faculty of Engineering, Professor, 工学部, 教授 (80116847)
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| Co-Investigator(Kenkyū-buntansha) |
SATO Hitoshi Toshiba Corporation Medical System, Researcher, 主査(研究職)
OHMATSU Hironobu National Cancer Center Hospital East, Staff, 東呼吸器内科, 医員(臨床)
MORIYAMA Noriyuki National Cancer Center Hospital East, Chief, 東放射線科, 部長(研究職)
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| Project Period (FY) |
1995 – 1997
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| Project Status |
Completed (Fiscal Year 1997)
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| Budget Amount *help |
¥1,400,000 (Direct Cost: ¥1,400,000)
Fiscal Year 1997: ¥600,000 (Direct Cost: ¥600,000)
Fiscal Year 1996: ¥800,000 (Direct Cost: ¥800,000)
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| Keywords | Lung Cancer / Helical CT / Computer Aided Diagnosis / Screening / early stage / 早期早見 / 計算機 / 肺がん候補検出 / 検診実験 |
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| Research Abstract |
In this study, we present a computer assisted automatic diagnostic system for lung cancer that detects nodule candidates at an early stage from helical CT images of the thorax. Our diagnostic system consists of analytic and diagnostic procedures. In the analysis procedure, first we extract the lung and the pulmonary blood vessel regions using the fuzzy clustering algorithm, then we analyze the features of these regions using image processing technique. In the diagnosis procedure, we define diagnostic rules utilizing the extracted features which support the determination of the candidate nodule locations. We show the effectiveness of our system by giving the result of its application to image data for maass screening.
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