3D shape reconstruction of the femur from planar X-ray images using statistical shape and appearance models

Abstract

Major trauma is a condition that can result in severe bone damage. Customised orthopaedic reconstruction allows for limb salvage surgery and helps to restore joint alignment. For the best possible outcome three dimensional (3D) medical imaging is necessary, but its availability and access, especially in developing countries, can be challenging. In this study, 3D bone shapes of the femur reconstructed from planar radiographs representing bone defects were evaluated for use in orthopaedic surgery. Statistical shape and appearance models generated from 40 cadaveric X-ray computed tomography (CT) images were used to reconstruct 3D bone shapes from digital reconstructed radiographs simulating bone defects between 0% and 50% in anterior posterior (AP) and anterior posterior/medial lateral (AP/ML) directions by comparing the images to projections of the shape model instance. As error metrics for the comparison, measures evaluating the distance between contour lines of the projections as well as a measure comparing similarities in image intensities were used. The results were evaluated using the root mean squared distance for surface error as well as differences in commonly used anatomical measures, including bow, femoral neck, diaphyseal-condylar and version angles between reconstructed surfaces from the shape model and the intact shape reconstructed from the CT image. The reconstructions had average surface errors between 1.59 mm and 3.59 mm with reconstructions using the contour error metric from the AP/ML directions being most accurate. Predictions of bow and femoral neck angles were well below the clinical threshold accuracy of 3°, diaphyseal-condylar angles were around the threshold of 3° and only version angle predictions of between 5.3° and 9.3° were above the clinical threshold, but within the range of accuracies obtained using computer navigation. This study shows that the accuracy of reconstructions combining the use of planar radiographs and statistical shape and appearance models is sufficient for use in orthopaedic reconstruction surgeries.

Fast digitally reconstructed radiograph generation using particle-based statistical shape and intensity model

“…The particle-based SSIM effectively addresses the challenges of deformable registration between 2D X-ray images and 3D models, accommodating the deformations and variability typical of subject-specific bone modeling without acquiring CT scans or MRI. This method can be utilized in deformable 2D-3D registration by considering the dynamic and flexible nature of anatomical structures, which is a crucial advancement along with existing techniques 37 – 39 Thus, the use of a particle-based SSIM and its projection methods represents a significant step forward in deformable registration medical imaging, offering improved adaptability in patient-specific bone modeling and kinematics assessments.…”