In-vivo measurement of Stress-Strain Distribution on the Humnan Ligament using Arthroscopic Images

本研究的目的是建立人体膝关节韧带表面应变分布的关节镜活体测量系统。为了解决受制于活体的技术和伦理问题，我们计划使用微创关节镜下的单平面图像进行分析。我们应用了改进的运动捕捉系统，通过关节镜检查，我们将能够检测标记(前交叉韧带表面的骨小骨或纹理)的3D位置。然而，当我们应用该技术测量前交叉韧带应变时，我们发现可以检测到，因此作为一种变化，我们应用了从阴影到形状的方法。利用处理后图像的亮度数据，采用Level Set方法计算三维坐标数据。并用B-Spline重建韧带表面的三维形态。计算所需的所有参数数据都是从校准图像引入的。我们从已知的受试者那里检查了我们方法的准确性。从而产生足够的精度。

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.