ArthroNav

The 3D reconstruction of scenes using monocular video sequences is a classical problem in computer vision. The literature covers, not only 3D reconstruction, but also related topics as camera calibration and 3D registration. However most of the described methodologies were developed for perspective images of everyday scenes. The goal of this project is to extend this framework to endoscopic video sequences in the context of computer aided orthopedic surgery (CAOS). Our target application is the visualization and navigation during the reconstruction of the Anterior Cruciate Ligament (ACL) using arthroscopy. Since we aim to develop methods to extract 3D information from endoscopic images, the project outcome will be useful for many other minimally invasive medical procedures.