원문정보
초록
영어
Anterior cruciate ligament (ACL) 3D reconstruction is a challenging problem for both orthopedic and sports surgeons. In this paper, to investigate the method of quickly establishing 3D digital model of ACL using 2D magnetic resonance images (MRI) and 2D computed tomography (CT) images, we propose an new scene-based segmentation 3D reconstruction method for anterior cruciate ligament. First, CCD camera is anglicized for 3D reconstruction method. Second, scene segmentation method is proposed to get image patch set. Third, the distance is calculated between the image patch and viewpoint of CCD camera. Finally, the proposed method is done for scene reconstruction. The performance of the proposed model is demonstrated on various 2D MRI and CT images. A relatively reliable ACL 3D reconstruction results indicate the validity of our method. The proposed method can provide a complete set of computer aided ACL operation system and realizing the individualized anatomical reconstruction of ACL.
목차
1. Introduction
2. Related Work
3. The Proposed Algorithm
3.1 CCD Camera Analysis
3.2. Scene Segmentation
3.3. Step Calculation
3.4. Image Patch Reconstruction
4. Experimental Results
5. Conclusions
References