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Communication Dans Un Congrès Année : 2012

Sparse reconstruction from a limited projection number of the coronary artery tree in X-ray rotational imaging

Résumé

This paper deals with the 3D reconstruction of sparse data in X-ray rotational imaging. Due to the cardiac motion, the number of available projections for this reconstruction is equal to four, which leads to a strongly undersampled reconstruction problem. We address thus this illness problem through a regularized iterative method. The whole algorithm is divided into two steps. Firstly, a minimal path segmentation step extracts artery tree boundaries. Secondly, a MAP reconstruction comparing L0-norm and L1-norm priors is applied on this extracted coronary tree. The reconstruction optimization process relies on a separable paraboloidal (SPS) algorithm. Some preliminary results are provided on simulated rotational angiograms.
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Dates et versions

hal-00702613 , version 1 (08-01-2013)

Identifiants

  • HAL Id : hal-00702613 , version 1

Citer

Ying Hu, Mi Youn Jung, Ahmed Oukili, Guanyu Yang, Jean-Claude Nunes, et al.. Sparse reconstruction from a limited projection number of the coronary artery tree in X-ray rotational imaging. IEEE International Symposium on Biomedical Imaging (ISBI'12), May 2012, Barcelone, Spain. pp.804-807. ⟨hal-00702613⟩
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