Simultaneous Correspondence and Non-Rigid 3D Reconstruction of the Coronary Tree from Single X-ray Images

We present a novel approach to simultaneously reconstruct the 3D structure of a non-rigid coronary tree and estimate point correspondences between an input X-ray image and a reference 3D shape. At the core of our approach lies an optimization scheme that iteratively fits a generative 3D model of increasing complexity and guides the matching process. As a result, and in contrast to existing approaches that assume rigidity or quasi-rigidity of the structure, our method is able to retrieve large non-linear deformations even when the input data is corrupted by the presence of noise and partial occlusions. We extensively evaluate our approach under synthetic and real data and demonstrate a remarkable improvement compared to state-of-the-art.

• Type: Journal
• Year: 2011
• Where: ICCV
• Authors: Eduard Serradell (Institut de Robotica i Informatica Industrial, Adriana Romero, Computer Vision Center, Bellaterra, Rubem Leta (Hospital de la Santa Creu i Sant Pau, Carlo Gatta
• Keywords: Computer Vision, ICCV 2011, Optimization Scheme, Point Correspondences, Remarkable Improvement