| Project/Area Number |
15K15457
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Radiation science
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| Research Institution | National Institutes for Quantum and Radiological Science and Technology |
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Principal Investigator |
NISHII RYUICHI 国立研究開発法人量子科学技術研究開発機構, 放射線医学総合研究所 分子イメージング診断治療研究部, 主任研究員(定常) (60463212)
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| Co-Investigator(Kenkyū-buntansha) |
新川 慶明 宮崎大学, 医学部, 助教 (40625836)
ThiThi Zin 宮崎大学, 工学部, 教授 (30536959)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2017: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2016: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2015: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | 個人特定 / 胸部X線単純写真 / 死後CT診断 / 骨陰影 / 画像ワークステーション / 胸部X線写真 |
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| Outline of Final Research Achievements |
Human identification both before and after death is becoming one of the most important issues in various aspects. For this purpose, we develop a computerized human identification system based on the collarbone of chest X-ray and CT scan images to identify an unknown person after death by using image processing technology. As the results, the 2D fusion of antemortem chest radiography and postmortem CT images may assist in human identification. We proposed an approach for automatic identification of a person after death based on the collarbone of chest X-ray and CT scan images. In the future, we will conduct experiments on large scale dataset, and will explore new feature extraction method. We will also test the system based on graph-based matching. Finally, our proposed system will be useful of identifying of a person who died because of severe circumstances where conventional biometrics feature cannot be available to use.
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