Project/Area Number |
14580823
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Biomedical engineering/Biological material science
|
Research Institution | Kyushu University |
Principal Investigator |
HIROKAWA Shunji Kyushu University, Faculty of Engineering, Professor, 工学研究院, 教授 (80150374)
|
Co-Investigator(Kenkyū-buntansha) |
TSURUNO Reiji Kyushu University, Faculty of Design, Associate Professor, 大学院・芸術工学研究院, 助教授 (10197775)
YAMAMOTO Kouji Kurume Institute of Technology, Faculty of Enginering, Associate Professor, 工学部, 助教授 (40158275)
ISHIKAWA Seiji Kyushu Institute of Technology, Faculty of Enginering, Professor, 工学部, 教授 (90128116)
川田 高士 久留米大学, 医学部, 医員
|
Project Period (FY) |
2002 – 2003
|
Project Status |
Completed (Fiscal Year 2003)
|
Budget Amount *help |
¥4,300,000 (Direct Cost: ¥4,300,000)
Fiscal Year 2003: ¥1,700,000 (Direct Cost: ¥1,700,000)
Fiscal Year 2002: ¥2,600,000 (Direct Cost: ¥2,600,000)
|
Keywords | Anterior Cruciate Ligament / Stress-Strain Distribution / Motion Capture / Arthroscopy / Fiber Bundle / Shading Image / Shape Reconstruction |
Research Abstract |
The object of this study is to establish in vivo arthroscopy measurement system of surface strain distribution of the human knee ligaments. To solve technical and ethical problems subject to living body, we planned to use single plane image from less invasive arthroscopy for the analysis. We applied the modified motion capture system by which we would be able to detect the 3D positions of markers (skecles or textures on the ACL's surface) through an arthroscopic examination. When we applied the technique to measure the ACL strain however, we found the detectable Thus as an altenative, we applied the Shape from Shading method. Three-dimensional coordinate data were calculated using Level Set Method, using the brightness data of the processed image. And three-dimensional shape of ligament surface was reproduced by B-Spline. All parametric data necessary for calculation were introduced from the calibration image. The accuracy of our method was checked from known subjects. and thereby resulting in enough accuracy.
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