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

Cohen, Laurent D.; Toumoulin, Christine; Luo, Limin; Bedossa, Marc; Peyré, Gabriel; Fehrenbach, Jérôme; Nunes, Jean-Claude; Yang, Guanyu; Oukili, Ahmed; Jung, Miyoun; Hu, Ying

Cohen, Laurent D.; Toumoulin, Christine; Luo, Limin; Bedossa, Marc; Peyré, Gabriel; Fehrenbach, Jérôme; Nunes, Jean-Claude; Yang, Guanyu; Oukili, Ahmed; Jung, Miyoun; Hu, Ying (2012), Sparse reconstruction from a limited projection number of the coronary artery tree in X-ray rotational imaging, Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on, IEEE, p. 804-807. http://dx.doi.org/10.1109/ISBI.2012.6235670

Type

Communication / Conférence

External document link

http://hal.archives-ouvertes.fr/hal-00702613

Date

2012

Conference title

ISBI 2012

Conference date

2012-05

Conference city

Barcelone

Conference country

Espagne

Book title

Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on

Publisher

IEEE

ISBN

978-1-4577-1857-1

Pages

804-807

Abstract (EN)

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.

Subjects / Keywords

X-ray rotational coronary angiography; non-local active contours; minimal path; Maximum a posteriori (MAP); reconstruction