Dense femur reconstruction from two x-ray images using generic 3D model with twist correction

Femur 3D reconstruction from x-ray images enables cost-effective and precise diagnosis of disease and surgery guidance. However, reconstructing accurate 3D model from sparse x-ray images are not a trivial task. In this paper, we propose a femur 3D reconstruction method from two x-ray images. We incorporate prior knowledge on the femur deformation such as twist distortion to improve reconstruction accuracy. We deform our generic 3D model optimizing global registration and twist correction parameters simultaneously. And then, non-rigid deformation is performed constructing dense 3d femur model of a patient. We have tested our method on real x-ray images and synthesized 3d femur models for quantitative and qualitative evaluations.