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Developemnt for correction method in OEF image to overcome factors deteriorating image accuracy

Research Project

Project/Area Number 18K07754
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 52040:Radiological sciences-related
Research InstitutionKagawa University

Principal Investigator

Kudomi Nobuyuki  香川大学, 医学部, 准教授 (20552045)

Co-Investigator(Kenkyū-buntansha) 前田 幸人  香川大学, 医学部附属病院, 技術職員 (10763336)
山本 由佳  香川大学, 医学部, 准教授 (30335872)
西山 佳宏  香川大学, 医学部, 教授 (50263900)
畠山 哲宗  香川大学, 医学部, 助教 (90602805)
Project Period (FY) 2018-04-01 – 2021-03-31
Project Status Completed (Fiscal Year 2020)
Budget Amount *help
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2020: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2019: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2018: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Keywords酸素摂取率 / もやもや病 / 動静脈奇形 / PET / 脳血流 / 酸素代謝量 / 画像診断 / PET / 標識水 / 脳酸素代謝量 / Oガス検査 / 定量精度 / 脳虚血画像診断 / PET迅速検査 / 脳血流画像 / 酸素代謝量定量画像 / 定量精度劣化の改善
Outline of Final Research Achievements

Cerebral blood flow, oxygen extraction fraction (OEF) and metabolic rate images are essential for cerebro-vascular disorders and can be measured by PET with 15O-gas. However, for Moyamoya disease and arterio-venous malformation (AVM), there are artefact on OEF imagea. The study aims at developing a correction method for the artefact. There are struggle in blood vessel in Moyamoya and this was taken into accounted in input function. Same can be applied for AVM. Validity was tested on subjects, n=40 and 16 for Mayamoya and AVM. The accuracy in input function was tested in simulation. The generated images were reasonably corrected, namely, elevated values around large blood vessel were disappeared. Simulation showed the accuracy in input function was ± 1 s. The results showed the present method is of use for the targeted disease.

Academic Significance and Societal Importance of the Research Achievements

脳虚血に対して、脳血流、酸素摂取率および酸素代謝量定量画像による診断が有効とされている。しかし、その診断が必要とされるもやもや病や動静脈奇形症例に対して、大血管領域で酸素摂取率の上昇が見られるという問題があり、診断精度の劣化が懸念された。この上昇に対してこれを補正法するを開発した。補正によって得られた画像は、大血管周辺領域においても、他の領域と同様の画素値が得られ、診断の精度を劣化する懸念を払拭したと考えられる。

Report

(4 results)
  • 2020 Annual Research Report   Final Research Report ( PDF )
  • 2019 Research-status Report
  • 2018 Research-status Report
  • Research Products

    (8 results)

All 2020 2019 2018

All Journal Article (1 results) (of which Open Access: 1 results) Presentation (7 results) (of which Int'l Joint Research: 2 results,  Invited: 1 results)

  • [Journal Article] Generation of Oxygen Extraction Fraction like image from H2 15O PET scan on the basis of Machine Learning2018

    • Author(s)
      N. Kudomi, Y. Maeda, Y. Yamamoto, T. Hatakeyama, Y. Nishiyama
    • Journal Title

      European Journal of Nuclear Medicine and Molecular Imaging

      Volume: 45 Issue: S1 Pages: 5703-5703

    • DOI

      10.1007/s00259-018-4148-3

    • Related Report
      2018 Research-status Report
    • Open Access
  • [Presentation] 機械学習を使ったO-gas PET検査による脳血流、酸素摂取率、酸素代謝量画像ノイズ低減の試み2020

    • Author(s)
      久冨信之
    • Organizer
      日本核医学会中国・四国支部会
    • Related Report
      2020 Annual Research Report
  • [Presentation] Application test of AI for generating image on compartment model in nuclear medicine2019

    • Author(s)
      久冨信之
    • Organizer
      PET秋の学校in東北2019
    • Related Report
      2019 Research-status Report
    • Invited
  • [Presentation] 機械学習によるFDG-PET グルコース代謝率定量画像生成の検討2019

    • Author(s)
      久冨信之
    • Organizer
      第62回日本脳循環代謝学会
    • Related Report
      2019 Research-status Report
  • [Presentation] GENERATION OF OEF-LIKE IMAGE USING H215O PET SCAN DATA APPLYING MACHINE LEARNING2019

    • Author(s)
      久冨信之
    • Organizer
      BRAIN & BRAIN PET 2019
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research
  • [Presentation] 機械学習に基づく、血流検査画像から疑似酸素摂取率画像を作成する試み2019

    • Author(s)
      久冨信之
    • Organizer
      第1回日本核医学会中国・四国支部会
    • Related Report
      2018 Research-status Report
  • [Presentation] Generation of Oxygen Extraction Fraction like image from H2 15O PET scan on the basis of Machine Learning2018

    • Author(s)
      久冨信之
    • Organizer
      EANM2018
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research
  • [Presentation] 第61回日本脳循環代謝学会学術集会2018

    • Author(s)
      久冨信之
    • Organizer
      機械学習による脳領域血液到達時間と血流から疑似酸素摂取率画像を生成する検討
    • Related Report
      2018 Research-status Report

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Published: 2018-04-23   Modified: 2022-01-27  

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