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Development of computer-aided detection system for early Alzheimer's disease on CT iamges

Research Project

Project/Area Number 15K08706
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Medical Physics and Radiological Technology
Research Institution秋田県立脳血管研究センター(研究部門)

Principal Investigator

Takahashi Noriyuki  秋田県立脳血管研究センター(研究部門), 放射線医学研究部, 特任研究員 (90595076)

Co-Investigator(Kenkyū-buntansha) 木下 俊文  秋田県立脳血管研究センター(研究部門), その他部局等, 研究員 (70314599)
Project Period (FY) 2015-04-01 – 2018-03-31
Project Status Completed (Fiscal Year 2017)
Budget Amount *help
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2017: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Keywords早期アルツハイマー / Computed tomography / 画像統計解析 / computed tomography / z score / CT / アルツハイマー病 / CT
Outline of Final Research Achievements

Enlargement of the temporal horn of the lateral ventricle on CT images is an accurate diagnostic marker of Alzheimer's disease. We developed a z-score-based semi-quantitative analysis of the temporal horn volume of the lateral ventricle for detection of early Alzheimer's disease on CT images. The previous study showed that regional mean z score of the temporal horn of the lateral ventricle calculated using the method was highly correlated with the volume of the temporal horn of the lateral ventricle for 50 subjects (R2=0.94). Also, This scheme was applied to CT scans from 51 AD patients and 31 controls to evaluate the performance of the method for detecting Alzheimer's. The estimated temporal horn of the lateral ventricle volume was markedly increased in the Alzheimer's group compared with the controls (P < .0001). Therefore, this computerized method may have the potential to accurately detect early Alzheimer's on CT images.

Report

(4 results)
  • 2017 Annual Research Report   Final Research Report ( PDF )
  • 2016 Research-status Report
  • 2015 Research-status Report
  • Research Products

    (7 results)

All 2018 2017 2016

All Journal Article (4 results) (of which Peer Reviewed: 4 results,  Acknowledgement Compliant: 1 results) Presentation (3 results) (of which Int'l Joint Research: 2 results)

  • [Journal Article] utomated volumetry of temporal horn of lateral ventricle for detection of Alzheimer’s disease in CT scan2018

    • Author(s)
      Takahashi Noriyuki, Kinoshita Toshibumi, Ohmura Tomomi, Matsuyama Eri, Toyoshima Hideto
    • Journal Title

      Proceeding of SPIE Medical Imaging 2018

      Volume: 10575

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] 頭部CT画像の自動MPR処理法2017

    • Author(s)
      高橋規之,大村知己,豊嶋英仁
    • Journal Title

      Proceedings of the Japanese Society of CT Technology 2017

      Volume: 5 Pages: 37-41

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Z-score-based semi-quantitative analysis of the volume of the temporal horn of the lateral ventricle on brain CT images2016

    • Author(s)
      Takahashi N, Kinoshita T, Ohmura T, Lee Y, Matsuyama E, Toyoshima H, Tsai DY.
    • Journal Title

      Radiol Phys Technol

      Volume: 9(1) Issue: 1 Pages: 69-76

    • DOI

      10.1007/s12194-015-0335-0

    • Related Report
      2016 Research-status Report
    • Peer Reviewed / Acknowledgement Compliant
  • [Journal Article] Usefulness of a z-score-based analysis of the temporal horn volume of the lateral ventricle for detection of early Alzheimer’s disease on CT images2016

    • Author(s)
      Takahashi, N., Kinoshita T., Ohmura T., Lee Y., Matsuyama E., Toyoshima H.
    • Journal Title

      Int J CARS

      Volume: 11(Suppl 1) Issue: S1 Pages: 1-286

    • DOI

      10.1007/s11548-016-1412-5

    • Related Report
      2016 Research-status Report
    • Peer Reviewed
  • [Presentation] Automated volumetry of temporal horn of lateral ventricle for detection of Alzheimer’s disease in CT scan2018

    • Author(s)
      Takahashi Noriyuki, Kinoshita Toshibumi, Ohmura Tomomi, Matsuyama Eri, Toyoshima Hideto
    • Organizer
      SPIE2018 medical imaging
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 画像の平均情報量を特徴量とする病変判別システムの優位性の検証2016

    • Author(s)
      松山江里,高橋規之,蔡 篤儀
    • Organizer
      第35回日本医用画像工学会大会
    • Place of Presentation
      千葉市
    • Year and Date
      2016-07-21
    • Related Report
      2016 Research-status Report
  • [Presentation] Usefulness of a z-score-based semi-quantitative analysis of the temporal horn volume of the lateral ventricle for detection of early Alzheimer’s disease on CT images2016

    • Author(s)
      Takahashi N, Kinoshita T, Ohmura T, Lee Y, Matsuyama E, Toyoshima H
    • Organizer
      CARS2016 Computer AssistedRadiology and Surgery
    • Place of Presentation
      ドイツ,ハイデルベルク
    • Year and Date
      2016-06-21
    • Related Report
      2016 Research-status Report
    • Int'l Joint Research

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Published: 2015-04-16   Modified: 2019-03-29  

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