Simultaneous Correspondence and Non-Rigid 3D Reconstruction of the Coronary Tree from Single X-Ray Images
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.
Cite
Text
Serradell et al. "Simultaneous Correspondence and Non-Rigid 3D Reconstruction of the Coronary Tree from Single X-Ray Images." IEEE/CVF International Conference on Computer Vision, 2011. doi:10.1109/ICCV.2011.6126325Markdown
[Serradell et al. "Simultaneous Correspondence and Non-Rigid 3D Reconstruction of the Coronary Tree from Single X-Ray Images." IEEE/CVF International Conference on Computer Vision, 2011.](https://mlanthology.org/iccv/2011/serradell2011iccv-simultaneous/) doi:10.1109/ICCV.2011.6126325BibTeX
@inproceedings{serradell2011iccv-simultaneous,
title = {{Simultaneous Correspondence and Non-Rigid 3D Reconstruction of the Coronary Tree from Single X-Ray Images}},
author = {Serradell, Eduard and Romero, Adriana and Leta, Ruben and Gatta, Carlo and Moreno-Noguer, Francesc},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {2011},
pages = {850-857},
doi = {10.1109/ICCV.2011.6126325},
url = {https://mlanthology.org/iccv/2011/serradell2011iccv-simultaneous/}
}