3-D model reconstruction from C-arm images

Abstract

In orthopedic surgery, three-dimensional models are usually reconstructed through CT or MRI images. In urgent operations, the most common way for 3-D model reconstruction is to extract C-arm images by C-arm fluoroscopic imaging. However, it is harmful to human bodies because of the ionizing radiation. In this work, we present a model deformation approach for 3D reconstruction from medical imaging. Our approach utilizes the visual hull algorithm to reconstruct a rough 3-D model from C-arm images, and then deforms it according a reference model. During the deformation stage, some adjustments are made for the models and the coherent point drift algorithm is carried out to match the 3-D points of two models. Experimental results demonstrate the feasibility of our technique for 3-D model reconstruction from C-arm imaging.