| Project/Area Number |
18K15590
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 52040:Radiological sciences-related
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| Research Institution | Osaka University |
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Principal Investigator |
Ueda Yasuyuki 大阪大学, 医学系研究科, 助教 (50780805)
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| Project Period (FY) |
2018-04-01 – 2021-03-31
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| Project Status |
Completed (Fiscal Year 2020)
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| Budget Amount *help |
¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2020: ¥260,000 (Direct Cost: ¥200,000、Indirect Cost: ¥60,000)
Fiscal Year 2019: ¥390,000 (Direct Cost: ¥300,000、Indirect Cost: ¥90,000)
Fiscal Year 2018: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
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| Keywords | 生体認証 / Biometrics / 画像認識 / Image recognition / 患者確認 / Patient verification / 生体指紋 / Biological fingerprint / Image recongnition / 個人識別 / バイオメトリクス / 画像マッチング / 医用画像 |
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| Outline of Final Research Achievements |
Healthcare providers would struggle to collect precise patient information and match individuals to their medical records. There are several human factors that can cause patient misidentification, including communication or human errors in healthcare work.
In addition to conventional patient confirmation, to use of biometrics for automated patient identity verification can be expected to reduce patient misidentification problems.
Biometrics using medical images have high versatility for verifying a patient’s identity, and have high feasibility for applying under a routine clinical examination. We believe that our technique can be used as a patient confirmation tool during frequently performed CT examinations.
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| Academic Significance and Societal Importance of the Research Achievements |
本研究により，診療用のCT画像データにおいても個人を識別する生体特徴があり，特徴点マッチングにより検査を受ける患者が正しいかどうかを高精度に評価することができた． これにより，患者および医療従事者に負担を与えることなく患者誤認問題の解決に向けての可能性が切り開かれたものと考えている．ただし，本研究では検査部位を体幹部に限定しており，より様々な検査に応用できるシステム再構築が課題である．
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