Development of a micro infarction detection system aimed at an early diagnosis of dementia on MRI examination

• Project/Area Number: 15K19206
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Medical Physics and Radiological Technology
• Research Institution: Gunma Prefectural College of Health Sciences
• Principal Investigator: Hayashi Norio 群馬県立県民健康科学大学, 診療放射線学部, 准教授 (50648459)
• Research Collaborator: UJITA Kouichi ; OGURA Akio ; DOI Kunio ; TSUSHIMA Yoshito
• Project Period (FY): 2015-04-01 – 2018-03-31
• Project Status: Completed (Fiscal Year 2017)
• Budget Amount: ¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000); Fiscal Year 2017: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000); Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000); Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
• Keywords: MRI / DIR / 微小梗塞 / 脳モデル / Zスコアマップ / 認知症早期発見 / 最適化 / MRI用模擬物質作成

Outline of Final Research Achievements

This study aimed to develop a micro infarction detection system for early diagnosis of dementia. We investigated the following three points: I. To clarify an optimal high-resolution double inversion recovery (DIR) - magnetic resonance imaging (MRI) method for detecting micro infarction; II. To develop normalized brain model of DIR-MR images for a Japanese population; and III. To develop a micro infarction detection system on optimized DIR-MR images using a statistical computer analysis.

Research Products

• [Journal Article] Optimization method of MRI scan parameters of a double inversion recovery sequence using a T1 map and a developed analysis algorithm (2017)
  • Author(s): Hayashi Norio、Yarita Kazuma、Sakata Kozue、Motegi Shunichi、Nagase Hiroyuki、Ujita Kouichi、Ogura Akio、Ogura Toshihiro、Shimada Takehiro、Tsushima Yoshito
  • Journal Title: Journal of X-Ray Science and Technology Volume: 25 Issue: 5 Pages: 803-812
  • DOI: 10.3233/xst-16243
  • Peer Reviewed / Int'l Joint Research
• [Journal Article] Double inversion recovery imaging of the brain: deriving the most relevant sequence through real images (2017)
  • Author(s): Motegi Shunichi、Shimada Takehiro、Hayashi Norio、Nagase Hiroyuki、Taketomi-Takahashi Ayako、Tsushima Yoshito
  • Journal Title: Radiological Physics and Technology Volume: 10 Issue: 3 Pages: 364-375
  • DOI: 10.1007/s12194-017-0396-3
  • Peer Reviewed / Int'l Joint Research
• [Journal Article] Relationship between Blurring and Refocus Flip Angle in 3D-double Inversion Recovery MRI (2017)
  • Author(s): 和田智行, 林 則夫, 茂木 俊一,長瀬 博之, 氏田 浩一, 小倉 明夫, 小倉 敏裕, 島田健裕, 対馬 義
  • Journal Title: Japanese Journal of Radiological Technology Volume: 73 Issue: 5 Pages: 389-394
  • DOI: 10.6009/jjrt.2017_JSRT_73.5.389
  • NAID: 130007324169
  • ISSN: 0369-4305, 1881-4883
  • Peer Reviewed / Open Access
• [Presentation] Investigation of evaluation system for medical images using deep convolutional neural network. (2018)
  • Author(s): Hayashi N, Sato Y, Maruyama T, Hyuga S, Wakayama Y, Watanabe H, Ogura A, Ogura T.
  • Organizer: The European congress of radiology 2018
• [Presentation] Development of a quantitative statistical analysis system for double inversion recovery (DIR) MRI: a preliminary clinical study. (2018)
  • Author(s): Hayashi N, Sato Y, Maruyama T,Shimoyama Y, Motegi S, Ujita K, Ogura A, Ogura T, Tsushima Y.
  • Organizer: The European congress of radiology 2018
• [Presentation] Voxel-based morphometry analysis of double inversion recovery-MRI for detecting microscopic lesions: a simulation study. (2018)
  • Author(s): Sato Y, Hayashi N, Maruyama T, Motegi S, Ujita K, Watanabe H, Ogura A, Ogura T, Tsushima Y.
  • Organizer: The European congress of radiology 2018,
• [Presentation] Development of voxel-based morphometry system for WAIR images obtained by the DIR sequence using an optimized MRI method (2017)
  • Author(s): Hayashi N, Sato Y, Shimoyama Y, Motegi S, Watanabe H, Ujita K, Ogura A, Ogura T, Tsushima Y.
  • Organizer: Computer assisted radiology and surgery 2017
• [Presentation] DARTEL手法を用いたdouble inversion recovery画像の標準化 (2017)
  • Author(s): 佐藤有将，林 則夫，日向慎吾，丸山朋子，若山雄大，小倉明夫，小倉敏裕，渡部晴之
  • Organizer: 第33回日本診療放射線技師学術大会
• [Presentation] 深層学習技術を用いた医療画像の画質判別手法：シミュレーションによる検討 (2017)
  • Author(s): 林 則夫，佐藤有将，丸山朋子，日向真悟，若山雄大，渡部晴之，小倉敏裕，小倉明夫
  • Organizer: 第18回群馬県CT・MRI研究会
• [Presentation] A Comparison of Normalization Methods with and without Diffeomorphic Anatomical Registration through Exponentiated Lie Algebra (DARTEL) Technique on Double Inversion-recovery Magnetic Resonance Images (2017)
  • Author(s): Sato Y, Hayashi N, Hyuga S, Maruyama T, Wakayama Y, Ogura A, Watanabe H
  • Organizer: The 3rd International Conference on Radiological Science and Technology
• [Presentation] デキストリンを用いた任意のT1値およびT2値を有するファントム作成法の考案：文献値からの配合比の算出． (2015)
  • Author(s): 林 則夫，伊藤大貴，中林亮太，篠崎あい，小倉明夫，小倉敏裕．
  • Organizer: 日本放射線技術学会第62回関東支部研究発表大会
  • Place of Presentation: メトロポリタン長野（長野市）
  • Year and Date: 2015-12-12
• [Presentation] Principle and Optimization Method of a Double Inversion Recovery Sequence for Diagnosis of Degenerative Diseases. (2015)
  • Author(s): Hayashi N, Motegi S, Nagase H, Ujita K, Shimada T, Tsushima Y, Ogura A, Ogura T, Yarita K, Hasegawa Y.
  • Organizer: 101st Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA)
  • Place of Presentation: CHICAGO (USA)
  • Year and Date: 2015-11-29
  • Int'l Joint Research
• [Presentation] T1マップを利用したdouble inversion recovery (DIR)法における撮像パラメータの最適化と白質および灰白質の領域抽出． (2015)
  • Author(s): 林 則夫，長谷川雪乃，茂木俊一，長瀬博之，氏田浩一，小倉明夫，小倉敏裕，対馬義人．
  • Organizer: 第34回日本医用画像工学会大会
  • Place of Presentation: 金沢歌劇座（金沢市）
  • Year and Date: 2015-07-30