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Simultaneous correspondence and non-rigid 3D reconstruction of the coronary tree from single X-ray images

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5 Author(s)
Serradell, E. ; Inst. de Robot. i Inf. Ind., UPC, Barcelona, Spain ; Romero, A. ; Leta, R. ; Gatta, C.
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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.

Published in:

Computer Vision (ICCV), 2011 IEEE International Conference on

Date of Conference:

6-13 Nov. 2011