Automated Zonal level implant loosening detection from Hip X-ray using a multi-staged approach

DIVYA MANOHARLAL BHATIA, Aparna Kanakatte Gurumurthy, Murali Poduval, RUPSHA MUKHERJEE, Avik Ghose

Keywords: Radiolucency, Implant loosening, Gruen zones, Charnley zones

Abstract:

Hip arthroplasty is a surgical procedure that involves the replacement of a patient’s hip joint with a prosthetic implant. While these implants are initially effective, they may eventually fail and necessitate revision surgery. It is important to identify the 3 Charnley and 7 Gruen zones around the implant and then identify the zone-wise radiolucency which indicates loosening for effective pre and post-operative planning. Despite the importance of zones, there is a lack of automation attempts in this field. In this work, we have proposed a 3-stage algorithm that detects the sanity of the image for diagnosis, segments into the zones, and then identifies radiolucency within the zones. We have demonstrated a 94% accuracy for Fit/Not Fit segregation, a 0.95 dice score for our zonal segmentation, and a 98% overall loosening accuracy. Obtaining an average dice score of 0.92 in the segmentation of zones and 0.93 accuracy on loosening detection on a blind dataset indicates the robustness of the proposed algorithm. This work will contribute to the development of more efficient and accurate models to detect implant loosening.

Primary Area: applications to computer vision, audio, language, and other modalities

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Submission Number: 9533