A Proposal for Automated Analytical Method of MDCT Images for Risk Measurement of Recurrent Patellar Dislocation

Abstract

Currently, doctors determine a treatment way of recurrent patellar dislocation with total consideration for the knee condition by using image discrimination and/or palpation. However, the determination depends much on the doctors. It results in variations of the judgment among them. Therefore, this study aims to propose an automated evaluation method that can provide a criterion of the subluxation knee for determination of a treatment to support doctors without subjective experiences. The proposed method analyzes an abnormal degree of patellofemoral surface by calculating a femoral pose from the medial and lateral epicondyles and detecting a patellar displacement and a profile of the groove. Then, it can provide a value represents a risk of the subluxation by considering them totally.