• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Automated evaluation system of white matter hyper intensity and computer aided diagnosis for dementia using MRI

Research Project

Project/Area Number 16K21660
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Radiation science
Medical systems
Research InstitutionTohoku University (2017)
National Center of Neurology and Psychiatry (2016)

Principal Investigator

Norihide Maikusa  東北大学, 東北メディカル・メガバンク機構, 助教 (80631069)

Project Period (FY) 2016-04-01 – 2018-03-31
Project Status Completed (Fiscal Year 2017)
Budget Amount *help
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2017: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
KeywordsAlzheimer's disease / MRI / 脳画像解析 / アルツハイマー病 / a / MRI
Outline of Final Research Achievements

We developed an automatic computer aided diagnostic method of Alzheimer's disease using longitudinal T1-MRI. This method used not only for atrophy of gray matter but also White matter hypo-intensity on T1 images.
To asses proposed method using data of Japanese Alzheimer's Disease Neuroimaging Initiative (J-ADNI).We used Support vector machine for Alzheimer group and healthy group using proposed method.As a result, it showed that it can be identified with a sensitivity of 87.9% and a specificity of 80.0%.

Report

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

    (2 results)

All 2017

All Presentation (2 results)

  • [Presentation] 組織確率マップに基づく脳構造縦断解析2017

    • Author(s)
      舞草伯秀、深見忠典、松田博史
    • Organizer
      電子情報通信学会
    • Related Report
      2017 Annual Research Report
  • [Presentation] 組織確率マップに基づく脳構造縦断解析2017

    • Author(s)
      舞草 伯秀 深見 忠典 松田 博史
    • Organizer
      電子情報通信学会
    • Place of Presentation
      沖縄テンブス館
    • Related Report
      2016 Research-status Report

URL: 

Published: 2016-04-21   Modified: 2019-03-29  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi