Conference Paper

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

DOI: 10.1109/ICCV.2011.6126325 Conference: IEEE International Conference on Computer Vision, ICCV 2011, Barcelona, Spain, November 6-13, 2011
Source: DBLP

ABSTRACT We present a novel approach to simultaneously reconstruct the D 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 D 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.

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    • "The final category involves those methods that simultaneously search for correspondences and estimate the transformation parameters using a Kalman filter-like approach [7], [11], [22], [29], [33], [34]. As soon as a few initial correspondences have been established, the set of remaining potential matches is rapidly reduced, making the search complexity manageable. "
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