Computer-aided diagnosis using statistical atlas: Estimation of fibrosis stage using MR imaging

• Project/Area Number: 26461789
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Radiation science
• Research Institution: Osaka University
• Principal Investigator: HORI MASATOSHI 大阪大学, 医学系研究科, 講師 (00346206)
• Co-Investigator(Kenkyū-buntansha): 金 東石 大阪大学, 医学系研究科, 准教授 (80283753) ; 大西 裕満 大阪大学, 医学系研究科, 助教 (20452435) ; 佐藤 嘉伸 奈良先端科学技術大学院大学, 情報科学研究科, 教授 (70243219) ; 陳 延偉 立命館大学, 情報理工学部, 教授 (60236841)
• Research Collaborator: TOMIYAMA Noriyuki 大阪大学, 大学院医学系研究科, 教授 (50294070) ; OKADA Toshiyuki 筑波大学, 医学医療系, 助教 ; MASAKI Yuto 奈良先端科学技術大学院大学, 情報科学研究科, 大学院生 ; MORIGUCHI Kazuya 奈良先端科学技術大学院大学, 情報科学研究科, 大学院生
• Project Period (FY): 2014-04-01 – 2017-03-31
• Project Status: Completed (Fiscal Year 2016)
• Budget Amount: ¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000); Fiscal Year 2016: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000); Fiscal Year 2015: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000); Fiscal Year 2014: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
• Keywords: 臨床 / 放射線 / 肝線維化 / コンピュータ支援診断 / MRI

Outline of Final Research Achievements

We developed an automatic liver segmentation method for MR images, which is an improved version of our software for CT images. Statistical atlas was used for the software. Then, we developed a computerized technique to analyze liver shape and estimate the stage of liver fibrosis. Fibrosis stage could be estimated by the technique based on liver shape, although the accuracy was inferior to MR elastography. Our results show that the technique for organ shape analysis using statistical atlas is promising for computer aided diagnosis.

Research Products

• [Journal Article] Quantitative Imaging: Quantification of Liver Shape on CT Using the Statistical Shape Model to Evaluate Hepatic Fibrosis (2015)
  • Author(s): Hori M, Okada T, Higashiura K, Sato Y, Chen YW, Kim T, Onishi H, Eguchi H, Nagano H, Umeshita K, Wakasa K, Tomiyama N
  • Journal Title: Acad Radiol Volume: 22 Issue: 3 Pages: 303-309
  • DOI: 10.1016/j.acra.2014.10.001
  • Peer Reviewed / Acknowledgement Compliant
• [Presentation] 撮影条件特有のパラメータチューニングが不要な3次元MRIからの肝臓領域の自動抽出 (2016)
  • Author(s): 政木 勇人、平山 俊太、横田 太、大竹 義人、堀 雅敏、岡田 俊之、富山 憲幸、佐藤 嘉伸
  • Organizer: 電子情報通信学会 医用画像研究会
  • Place of Presentation: 那覇
  • Year and Date: 2016-01-19