Abstract: Femoral version impacts the long-term functioning of the femoroacetabular joint. Accurate measurements of version are required for success in total hip arthroplasties and hip reconstructive surgeries. An automated algorithm is provided for identifying the major landmarks of the femur. These landmarks are then used to identify proximal axes and create a statistical shape model of the proximal femur. With six proximal axes selected, and 200 parameters (distances and angles between points) from the shape model measured, the best-fitting linear correlation is found. The difference between true version and version predicted by this model was 0.00°±5.13° with a maximum overestimation and underestimation of 11.80° and 15.35°, respectively. This model and its prediction of femoral version are a substantial improvement over pre-operative 2D or intra-operative visual estimation measures. Acetabular orientation is also determined by an automated algorithm using radii of curvature measurements.

Abstract: Femoral version impacts the long-term functioning of the femoroacetabular joint. Accurate measurements of version are required for success in total hip arthroplasties and hip reconstructive surgeries. An automated algorithm is provided for identifying the major landmarks of the femur. These landmarks are then used to identify proximal axes and create a statistical shape model of the proximal femur. With six proximal axes selected, and 200 parameters (distances and angles between points) from the shape model measured, the best-fitting linear correlation is found. The difference between true version and version predicted by this model was 0.00°±5.13° with a maximum overestimation and underestimation of 11.80° and 15.35°, respectively. This model and its prediction of femoral version are a substantial improvement over pre-operative 2D or intra-operative visual estimation measures. Acetabular orientation is also determined by an automated algorithm using radii of curvature measurements.