Real-time estimation of hip range of motion for total hip replacement surgery

This paper presents the design and implementation of a range of motion estimation method that is capable of fine-grained estimation during total hip replacement (THR) surgery. Our method combines an adaptive refinement strategy with a high performance computing system in order to enable real-time estimation. The experimental results indicate that the implementation on a cluster of 64 PCs enables intraoperative estimation of 360 x 360 x 180 stance configurations within a half minute, and thereby plays a key role in selecting and aligning the optimal combination of artificial joint components during THR surgery.