Publication
Simultaneous correspondence and non-rigid 3D reconstruction of the coronary tree from single X-ray images
Conference Article
Conference
International Conference on Computer Vision (ICCV)
Edition
2011
Pages
850-857
Doc link
http://dx.doi.org/10.1109/ICCV.2011.6126325
File
Abstract
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.
Categories
computer vision.
Scientific reference
E. Serradell, A. Romero, R. Leta, C. Gatta and F. Moreno-Noguer. Simultaneous correspondence and non-rigid 3D reconstruction of the coronary tree from single X-ray images, 2011 International Conference on Computer Vision, 2011, Barcelona, pp. 850-857, IEEE.
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