Matsubara Keisuke 松原佳亮

… Alternative Names

MATSUBARA Keisuke 松原佳亮

Less

Researcher Number	40588430
Other IDs
Affiliation (Current)	2025: 秋田県立大学, システム科学技術学部, 准教授
Affiliation (based on the past Project Information) *help	2022 – 2023: 秋田県立大学, システム科学技術学部, 准教授 2020 – 2022: 秋田県立循環器・脳脊髄センター(研究所), 放射線医学研究部, 主任研究員 2018 – 2020: 秋田県立循環器・脳脊髄センター(研究所), 放射線医学研究部, 研究員 2016 – 2017: 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 2014 – 2015: 秋田県立脳血管研究センター(研究局), その他部局等, 研究員 2011: 秋田脳研, 放射線医学研究部, 研究員
Review Section/Research Field	Principal Investigator Basic Section 52040:Radiological sciences-related / Radiation science Except Principal Investigator Basic Section 52040:Radiological sciences-related / Medium-sized Section 47:Pharmaceutical sciences and related fields / Basic Section 90130:Medical systems-related / Medical Physics and Radiological Technology / Radiation science
Keywords	Principal Investigator PET / 深層学習 / 脳循環代謝 / MRI / シミュレーション / 画像診断 / 磁化率強調像 / 脳卒中 / 機械学習 / 自動VOI抽出 / クラスター分析 / 線条体 … More Except Principal Investigator … More PET / 高時間分解能 / 高空間分解能 / 到達時間マップ / 脳循環評価 / 酸素15 / ポジトロン断層法（PET） / 薬物治療 / フーリエ変換赤外線分光計（FT-IR） / 核磁気共鳴分光法（MRS） / 赤外線分光法（FT-IR） / 近赤外線分光法（NIRS） / 薬物濃度 / 核磁気共鳴スペクトロスコピー（MRS） / ケミカルNIRS / 脳内薬物濃度 / ジフェンヒドラミン / アセトアミノフェン / 近赤外線分光計（NIRS） / X線エネルギー分解画像 / 低被ばく化技術 / 医用画像処理技術 / 半導体検出器 / インターベンショナルラジオロジー / 核医学物理学 / 認知症 / 医学物理 / Blood flow / 脳血流 / アルツハイマー病診断 / 画像融合 / NIRS / 運動合併症 / セロトニントランスポーター / 脳神経疾患 / 核医学 / パーキンソン病 / 核医学(PETを含む) Less

Non-invasive quatitative PET by deep learning of arterial input functionPrincipal Investigator
- Principal Investigator
  
  松原佳亮
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Akita Prefectural University
高空間・高時間分解能を生かした新しいPET脳循環評価法の提案
- Principal Investigator
  
  茨木正信
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Akita Cerebrospinal and Cardiovascular Center
Non-invasive monitoring of intra-brain drug concentration using near-infrared spectroscopy (chemical NIRS)
- Principal Investigator
  
  Manabu Tashiro
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Challenging Research (Exploratory)
- Review Section
  
  Medium-sized Section 47:Pharmaceutical sciences and related fields
- Research Institution
  Tohoku University
Preliminary study for deep learning of MR images to predict maps for cerebral blood flow and metabolismPrincipal Investigator
- Principal Investigator
  
  Keisuke Matsubara
- Project Period (FY)
  2019 – 2021
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Akita Cerebrospinal and Cardiovascular Center
Novel concept of IVR system based on object identification in X-ray fluroscopic images for drastic dose reduction
- Principal Investigator
  
  Kikuchi Yohei
- Project Period (FY)
  2019 – 2022
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 90130:Medical systems-related
- Research Institution
  Tohoku University
PET-NIRS fusion imaging for advanced diagnosis of Alzheimer's disease and elucidation of brain function
- Principal Investigator
  
  WATABE Hiroshi
- Project Period (FY)
  2017 – 2019
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  Medical Physics and Radiological Technology
- Research Institution
  Tohoku University
Computer-aided prediction for dysfunction of cerebral metabolism in cerebrovascular disease: supervised learning of susceptibility weighted imagePrincipal Investigator
- Principal Investigator
  
  MATSUBARA Keisuke
- Project Period (FY)
  2016 – 2018
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Radiation science
- Research Institution
  Akita Cerebrospinal and Cardiovascular Center
Functional subdivision of brain structures by clustering of PET imagesPrincipal Investigator
- Principal Investigator
  
  Matsubara Keisuke
- Project Period (FY)
  2014 – 2015
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Radiation science
- Research Institution
  秋田県立脳血管研究センター(研究部門)
Striatal serotonergic terminals in Parkinson's disease : a PET study
- Principal Investigator
  
  MAEDA Tetsuya
- Project Period (FY)
  2009 – 2011
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Radiation science
- Research Institution
  Research institute for Brain and Blood Vesseis Akita

All 2022 2021 2020 2018 2017 2016 2010

All Journal Article Presentation

[Journal Article] A review on AI in PET imaging2022
- Author(s)
  Matsubara Keisuke、Ibaraki Masanobu、Nemoto Mitsutaka、Watabe Hiroshi、Kimura Yuichi
- Journal Title
  
  Annals of Nuclear Medicine
  
  Volume: 36 Issue: 2 Pages: 133-143
- DOI
  10.1007/s12149-021-01710-8
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K08239, KAKENHI-PROJECT-20K11944
[Journal Article] Prediction of an oxygen extraction fraction map by convolutional neural network: validation of input data among MR and PET images2021
- Author(s)
  Matsubara Keisuke、Ibaraki Masanobu、Shinohara Yuki、Takahashi Noriyuki、Toyoshima Hideto、Kinoshita Toshibumi
- Journal Title
  
  International Journal of Computer Assisted Radiology and Surgery
  
  Volume: 16 Issue: 11 Pages: 1865-1874
- DOI
  10.1007/s11548-021-02356-7
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K08239
[Journal Article] A comparison of five partial volume correction methods for Tau and Amyloid PET imaging with [(18)F]THK5351 and [(11)C]PIB.2018
- Author(s)
  Shidahara M, Thomas BA, Okamura N, Ibaraki M, Matsubara K, Oyama S, Ishikawa Y, Watanuki S, Iwata R, Furumoto S, Tashiro M, Yanai K, Gonda K, Watabe H.
- Journal Title
  
  Ann Nucl Med.
  
  Volume: 59 Issue: 7 Pages: 671-674
- DOI
  10.1007/s12149-017-1185-0
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K20083, KAKENHI-PROJECT-15H04900, KAKENHI-PROJECT-16H05383, KAKENHI-PROJECT-16H05385, KAKENHI-PROJECT-17H04118, KAKENHI-PROJECT-15K08687
[Presentation] X線透視画像内のデバイスを対象とした深層学習セグメンテーションモデルのための効率的な学習データ作成手法についての検討2022
- Author(s)
  鈴木皓士，菊池洋平，吉原陽平，松原佳亮，大村知己，木下俊文，松山成男
- Organizer
  第４１回　日本医用画像工学会大会
- Data Source
  KAKENHI-PROJECT-19H04478
[Presentation] 畳み込みニューラルネットワークによるMR及びPET画像からの酸素摂取率画像の予測2020
- Author(s)
  松原佳亮, 茨木正信, 篠原祐樹, 高橋規之, 豊嶋英仁, 木下俊文
- Organizer
  第39回日本異様画像工学会大会 (JAMIT 2020)
- Data Source
  KAKENHI-PROJECT-19K08239
[Presentation] Capsule networkを用いた磁化率強調像の教師あり学習による脳循環代謝異常の予測の試み2018
- Author(s)
  松原佳亮, 高橋規之, 梅津篤司, 茨木正信, 木下俊文
- Organizer
  第37回日本医用画像工学会大会
- Data Source
  KAKENHI-PROJECT-16K19869
[Presentation] 畳み込みニューラルネットワークを用いた磁化率強調像の深層学習による脳循環代謝異常の予測の試み2017
- Author(s)
  松原佳亮，茨木正信，高橋規之，梅津篤司，木下俊文
- Organizer
  医用画像情報学会平成29年度秋季大会
- Data Source
  KAKENHI-PROJECT-16K19869
[Presentation] Convolutional neural networkを用いた磁化率強調像の深層学習による脳循環代謝異常の予測の試み2017
- Author(s)
  松原佳亮
- Organizer
  第7回核医学画像解析研究会
- Data Source
  KAKENHI-PROJECT-16K19869
[Presentation] 脳循環代謝画像の深層学習 - PETを教師とした磁化率強調像の学習2016
- Author(s)
  松原　佳亮
- Organizer
  第６回核医学画像解析研究会
- Place of Presentation
  放射線医学総合研究所
- Year and Date
  2016-12-03
- Data Source
  KAKENHI-PROJECT-16K19869
[Presentation] セロトニントランスポーターイメージング剤[11C] DASBの合成条件検討2010
- Author(s)
  工藤和彦、山口博司、茨木正信、中村和浩、松原佳亮、木下俊文、前田哲也、高橋和弘
- Organizer
  第50回日本核医学会学術総会
- Place of Presentation
  さいたま市
- Year and Date
  2010-11-11
- Data Source
  KAKENHI-PROJECT-21591585

1. IBARAKI Masanobu (40360359)

# of Collaborated Projects: 5 results

# of Collaborated Products: 6 results
2. WATABE Hiroshi (40280820)

# of Collaborated Projects: 4 results

# of Collaborated Products: 1 results
3. KINOSHITA Toshifumi (70314599)

# of Collaborated Projects: 3 results

# of Collaborated Products: 3 results
4. 篠原祐樹 (60462470)

# of Collaborated Projects: 3 results

# of Collaborated Products: 2 results
5. Manabu Tashiro (00333477)

# of Collaborated Projects: 2 results

# of Collaborated Products: 1 results
6. 志田原美保 (20443070)

# of Collaborated Projects: 2 results

# of Collaborated Products: 0 results
7. MAEDA Tetsuya (70359496)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
8. KUDO Kazuhiko (70462471)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
9. YAMAGUCHI Hiroshi (00450841)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
10. NAKAMURA Kazuhiro (10312638)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
11. Kikuchi Yohei (50359535)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
12. 小谷光司 (20250699)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
13. 千田浩一 (20323123)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
14. 狩川大輔 (40436100)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
15. 松山成男 (70219525)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
16. 久保均 (00325292)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
17. 石川大太郎 (20610869)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
18. 藤井智幸 (40228953)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
19. KUWABARA Hiroto

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
20. TAKAHASHI Noriyuki

# of Collaborated Projects: 1 results

# of Collaborated Products: 2 results
21. UMETSU Atsushi

# of Collaborated Projects: 1 results

# of Collaborated Products: 2 results

Matsubara Keisuke 松原 佳亮

MATSUBARA Keisuke 松原 佳亮

Research Projects

Research Products

Co-Researchers

Non-invasive quatitative PET by deep learning of arterial input functionPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

高空間・高時間分解能を生かした新しいPET脳循環評価法の提案

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Non-invasive monitoring of intra-brain drug concentration using near-infrared spectroscopy (chemical NIRS)

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Preliminary study for deep learning of MR images to predict maps for cerebral blood flow and metabolismPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Novel concept of IVR system based on object identification in X-ray fluroscopic images for drastic dose reduction

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

PET-NIRS fusion imaging for advanced diagnosis of Alzheimer's disease and elucidation of brain function

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Computer-aided prediction for dysfunction of cerebral metabolism in cerebrovascular disease: supervised learning of susceptibility weighted imagePrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Functional subdivision of brain structures by clustering of PET imagesPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Striatal serotonergic terminals in Parkinson's disease : a PET study

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] A review on AI in PET imaging2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Prediction of an oxygen extraction fraction map by convolutional neural network: validation of input data among MR and PET images2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] A comparison of five partial volume correction methods for Tau and Amyloid PET imaging with [(18)F]THK5351 and [(11)C]PIB.2018

Author(s)

Journal Title

DOI

Data Source

[Presentation] X線透視画像内のデバイスを対象とした深層学習セグメンテーションモデルのための効率的な学習データ作成手法についての検討2022

Author(s)

Organizer

Data Source

[Presentation] 畳み込みニューラルネットワークによるMR及びPET画像からの酸素摂取率画像の予測2020

Author(s)

Matsubara Keisuke 松原佳亮

MATSUBARA Keisuke 松原佳亮