Automated detection and tracking of abnormal regions on FDG-PET images
Project/Area Number |
24500543
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Medical systems
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Research Institution | Gifu University |
Principal Investigator |
HARA Takeshi 岐阜大学, 医学(系)研究科(研究院), 准教授 (10283285)
|
Co-Investigator(Kenkyū-buntansha) |
KATAFUCHI Tetsuro 岐阜医療科学大学, 保健科学部, 教授 (00393231)
FUJITA Hiroshi 岐阜大学, 医学系研究科, 教授 (10124033)
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Co-Investigator(Renkei-kenkyūsha) |
ITO Satoshi 大雄会総合病院, 放射線科, 医長
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Project Period (FY) |
2012-04-01 – 2015-03-31
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Project Status |
Completed (Fiscal Year 2014)
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Budget Amount *help |
¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2013: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2012: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
|
Keywords | 核医学 / FDG-PET / コンピュータ支援診断 / 化学療法 / コンピュータ支援診断システム / 観察者実験 / PET/CT / 体幹部 / 解剖学的標準化 |
Outline of Final Research Achievements |
We have developed a prototype of computer-aided diagnosis system for FDG-PET images based on statistical image analysis. Fifty-five cases were employed to evaluate the initial performance. As a result of this work, we have achieved 95% true-positive fraction to detect abnormal spots and to track the activity changes between two time series examinations. The evaluation of activity changes of 76% examinations showed the same results as radiologists' comments. In conclusions, the presentation of activity changes with SUV and Z-score will be a helpful index for the interpretation of FDG-PET images during the cancer treatment.
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Report
(4 results)
Research Products
(27 results)
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[Journal Article] Temporal subtraction system on torso FDG-PET scans based on statistical image analysis2013
Author(s)
Y.Shimizu, T. Hara, D. Fukuoka, X.Zhou, C.Muramatsu, S.Ito, K.Hakozaki, S.Kumita, K.Ishihara, T.Katafuchi, H.Fujita
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Journal Title
Proc. of SPIE Medical Imaging 2013
Volume: 8670
Related Report
Peer Reviewed
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