| Project/Area Number |
26460722
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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 |
Medical Physics and Radiological Technology
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| Research Institution | Niigata University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
和田 真一 新潟大学, 医歯学系, 教授 (80105519)
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| Research Collaborator |
MATSUMOTO Toru 健生クリニック
MURAO Kohei 富士通(株)
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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 |
¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2016: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2015: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2014: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
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| Keywords | エックス線CT / 変調伝達関数（MTF） / 点広がり関数（PSF） / 空間分解能 / 肺がん / コンピュータ支援診断（CAD） / 模擬結節 / X線CT装置 / CT検診 |
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| Outline of Final Research Achievements |
We proposed an application of virtual nodules to evaluate the performance of computer-aided detection (CAD) of lung cancer CT screening. When a CAD system is introduced in an institution providing CT screening, its performance should be evaluated by image data obtained under the same scan and image reconstruction conditions as those used at that site, because CAD performance is affected by CT scanning and image reconstruction conditions. The virtual nodules were generated based on the spatial resolution of a CT system used in an institution providing cancer screening and were fused into lung images obtained at that institution, allowing site specificity. The detection limits of a CAD system were determined in terms of the size and density of lung nodules. This methodology for guiding the detection limit might be a useful evaluation strategy. Virtual nodules can be an effective means of evaluating site-specific CAD performance.
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