3D Motion and reconstruction of coronary networks

This paper describes an original method combining spatial and temporal features for the 3D reconstruction of coronary arteries from two X-ray views. Motion estimation is performed along the vessel centerlines in the two images by means of an optical flow based method. Centerline tracking and matching is carried out through epipolar constraints. This scheme allows to process automatically these two overall image sequences. Its effectiveness has been demonstrated on real data and the results are discussed in terms of expected benefits and potential limitations.