Challenging study to develop a diagnostic support technique of amyotrophic lateral sclerosis (ALS) by image processing approach

• Project/Area Number: 16K15346
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Medical Physics and Radiological Technology
• Research Institution: Gifu University
• Principal Investigator: FUJITA Hiroshi 岐阜大学, 大学院医学系研究科, 教授 (10124033)
• Co-Investigator(Kenkyū-buntansha): 神谷 直希 愛知県立大学, 情報科学部, 講師 (00580945)
• Co-Investigator(Renkei-kenkyūsha): HARA Takeshi 岐阜大学, 工学部, 准教授 (10283285) ; ZHOU Xiangrong 岐阜大学, 工学部, 助教 (00359738) ; YAMADA Megumi 岐阜大学, 医学部附属病院 (50452157) ; INUZUKA Takashi 岐阜大学, 大学院医学系研究科 (50184734)
• Project Period (FY): 2016-04-01 – 2018-03-31
• Project Status: Completed (Fiscal Year 2017)
• Budget Amount: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000); Fiscal Year 2017: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000); Fiscal Year 2016: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
• Keywords: 医用画像処理・解析 / 筋肉画像解析 / 医用画像診断支援 / ALS / 全身CT画像 / 医用画像 / 画像工学 / 診断支援

Outline of Final Research Achievements

In this research project, by image engineering approach, we aimed at support of diagnosis of amyotrophic lateral sclerosis (ALS), which is one of designated intractable diseases. We realized an automatic recognition of whole-body skeletal muscles and an automatic analysis of fat in skeletal muscle region. Here, we fully automated the recognition of skeletal muscles in whole-body CT images and developed the site-specific automated analytical technique for patients with muscle diseases accompanied by ALS and muscular atrophy. Automatic recognition of surface muscle by modeling the body cavity was performed, and the whole body was divided into 22 areas, and also three dimensional analysis of skeletal muscles was achieved. As a result, significant differences were found in multiple image features between the ALS and the myogenic disease group in the upper arm, thigh and lower leg.

Research Products

• [Int'l Joint Research] ベルン大学(スイス)
• [Journal Article] A02-3 Function integrated diagnostic assistance based on multidisciplinary computational anatomy models - Progress Overview FY2016 - (2018)
  • Author(s): H.Fujita, T.Hara, X.Zhou, K.Azuma, D.Fukuoka, Y.Hatanaka, N.Kamiya, T.Katafuchi, T.Matsubara, M.Matsuo, T.Miyati, C.Muramatsu, A.Teramoto, and Y.Uchiyama
  • Journal Title: Proc. of the Fourth International Symposium on the Project “Multidisciplinary Computational Anatomy” Volume: なし Pages: 115-123
• [Journal Article] Automated analysis of whole skeletal muscle for muscular atrophy detection of ALS in whole-body CT images: preliminary study (2017)
  • Author(s): N.Kamiya, K.Ieda, X.Zhou, M.Yamada, H.Kato, C.Muramatsu, T.Hara, T.Miyoshi, T.Inuzuka, M.Matsuo, and H.Fujita
  • Journal Title: Proceedings of SPIE Medical Imaging 2017, Computer-Aided Diagnosis Volume: 10134 Pages: 1013442-1013442
  • DOI: 10.1117/12.2251584
  • Peer Reviewed / Acknowledgement Compliant
• [Presentation] A02-3 Function integrated diagnostic assistance based on multidisciplinary computational anatomy models - Progress Overview FY2016 - (2018)
  • Author(s): H.Fujita, T.Hara, X.Zhou, K.Azuma, D.Fukuoka, Y.Hatanaka, N.Kamiya, T.Katafuchi, T.Matsubara, M.Matsuo, T.Miyati, C.Muramatsu, A.Teramoto, and Y.Uchiyama
  • Organizer: The Fourth International Symposium on the Project “Multidisciplinary Computational Anatomy”
  • Int'l Joint Research
• [Presentation] Automated analysis of whole skeletal muscle for muscular atrophy detection of ALS in whole-body CT images: preliminary study (2017)
  • Author(s): N.Kamiya, K.Ieda, X.Zhou, M.Yamada, H.Kato, C.Muramatsu, T.Hara, T.Miyoshi, T.Inuzuka, M.Matsuo, and H.Fujita
  • Organizer: SPIE Medical Imaging 2017
  • Place of Presentation: Renaissance Orlando at Sea World/Orlando, Florida
  • Year and Date: 2017-02-11
  • Int'l Joint Research
• [Presentation] Segmental recognition of skeletal muscle in whole-body CT images and its texture analysis using skeletal muscle models (2017)
  • Author(s): N. Kamiya, E. Asano, X. Zhou, M. Yamada, H. Kato, K. Azuma, C. Muramatsu, T. Hara, T. Miyoshi, T. Inuzuka, M. Matsuo and H. Fujita
  • Organizer: Computer Assisted Radiology and Surgery (CARS) 2017
  • Int'l Joint Research
• [Presentation] 全身CT画像における上肢・下肢のテクスチャ解析に基づく筋萎縮疾患の画像特徴解析 (2017)
  • Author(s): 淺野瑛里香，神谷直希，周 向栄，山田 恵，加藤博基，村松千左子，原 武史，三好利治，松尾政之，藤田広志
  • Organizer: 第36回日本医用画像工学会大会
• [Presentation] 全身CT画像における3D テクスチャ解析によるALS 群と筋原性・神経原性疾患群の画像特徴解析 (2017)
  • Author(s): 淺野瑛里香，神谷直希，周向栄，山田恵，加藤博基，村松千左子，原武史，三好利治，松尾政之，藤田広志
  • Organizer: 平成29年度日本生体医工学会東海支部学術集会
• [Presentation] 全身CT画像における腸腰筋モデルを用いたテクスチャ解析に基づくALSの自動鑑別の初期検討 (2017)
  • Author(s): 神谷直希，家田皓将，周 向栄，山田 恵，加藤博基，東 華岳，村松千左子，原 武史，三好利治，犬塚 貴，松尾正之，藤田広志
  • Organizer: 電子情報通信学会医用画像研究会
  • Place of Presentation: 那覇市ぶんかテンブス館
• [Presentation] 全身CT画像におけるALSの早期鑑別診断のためのテクスチャ解析を用いた骨格筋解析の初期検討 (2017)
  • Author(s): 家田皓将，神谷直希，周 向栄，山田 恵，加藤博基，村松千左子，原 武史，三好利治，犬塚 貴，松尾政之，藤田広志
  • Organizer: 医用画像情報学会春季大会
  • Place of Presentation: 九州大学
• [Presentation] Automated Analysis of Intramuscular Fat Tissue in the Lower Limbs with a Case of Amyotrophic Lateral Sclerosis (ALS) in Whole-body CT Images (2016)
  • Author(s): N. Kamiya, K. Ieda, X. Zhou, M. Yamada, C. Muramatsu, T. Hara, and H. Fujita
  • Organizer: 日本放射線技術学会 第72回総会学術大会
  • Place of Presentation: パシフィコ横浜
  • Year and Date: 2016-04-14
• [Remarks] 岐阜大学藤田研究室
  • URL: http://www.fjt.info.gifu-u.ac.jp/
• [Remarks] 神谷研究室
  • URL: http://www.ist.aichi-pu.ac.jp/~n-kamiya/