Clinical big image data based pre-operative planning in ACL reconstruction

摘要

In recent years, medical institutions have very big data including medical images. The big image data analysis using the collected medical images is effective to increase the accuracy and the reproducibility of the surgery. Anterior cruciate ligament (ACL) injury causes knee joint instability, and affects on sports performance. Therefore, ACL reconstruction surgery is essential to keep their performance high and to prevent osteoarthrosis. We have proposed a MR image based pre-operative planning system of ACL reconstruction. The system manually applies the Quadrant method to the synthesized pseudo radiograph. This paper proposes a fully automated pre-operative planning system based on the clinical big image data analysis. The experimental results showed that the proposed method successfully estimated the bone tunnel opening site to insert the ACL.