Computer-aided Automated and Quantitative ACL Reconstruction Surgery Optimization based on MR Image Analysis

2016 Fiscal Year Final Research Report

• Project/Area Number: 26462315
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Orthopaedic surgery
• Research Institution: University of Hyogo
• Principal Investigator: KOBADHI SYOJI 兵庫県立大学, 工学研究科, 准教授 (00332966)
• Project Period (FY): 2014-04-01 – 2017-03-31
• Keywords: 前十字靭帯再建術 / MRI画像 / 正側面擬似単純X線像 / Blumensaat's line / 前内側線維束 / 後外側線維束

Outline of Final Research Achievements

This study proposed a fully-automated synthesis method of lateral pseudo X-ray radiograph image. Then, it automatically detects Blumensat's line, and predict attachment positions of anterior-medial bundle (AMB) and posterior-lateral bundle (PLB). 3-D position of AMB and PLB are estimated by back-projection to 3-D bonny surface.
The proposed method has been applied to 10 subjects who are extracted randomly from 100 subjects in SKI10 dataset. Experimental results validated that the proposed method detected attachment position of AMB.

Free Research Field

医用画像認識