Taubmann O, Unberath M, Lauritsch G, Achenbach S, Maier A (2017)
Publication Type: Conference contribution
Publication year: 2017
Publisher: IEEE Computer Society
Edited Volumes: Proceedings - International Symposium on Biomedical Imaging
Pages Range: 52-55
Conference Proceedings Title: Proceedings of the 2017 IEEE International Symposium on Biomedical Imaging
Event location: Melbourne, Australia
ISBN: 9781509011711
URI: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Taubmann17-SR4.pdf
DOI: 10.1109/ISBI.2017.7950466
Tomographic reconstruction of cardiovascular structures from rotational angiograms acquired with interventional C-arm devices is challenging due to cardiac motion. Gating strategies are widely used to reduce data inconsistency but come at the cost of angular undersampling. We employ a spatio-temporally regularized 4-D reconstruction model, which is solved using a proximal algorithm, to handle the substantial undersampling associated with a strict gating setup. In a numerical phantom study based on the CAVAREV framework, similarity to the ground truth is improved from 82.3% to 87.6%by this approach compared to a state-of-the-art motion compensation algorithm, whereas previous regularized methods evaluated on this phantom achieved results below 80%. We also show first image results for a clinical patient data set.
APA:
Taubmann, O., Unberath, M., Lauritsch, G., Achenbach, S., & Maier, A. (2017). Spatio-temporally Regularized 4-D Cardiovascular C-arm CT Reconstruction Using a Proximal Algorithm. In Proceedings of the 2017 IEEE International Symposium on Biomedical Imaging (pp. 52-55). Melbourne, Australia: IEEE Computer Society.
MLA:
Taubmann, Oliver, et al. "Spatio-temporally Regularized 4-D Cardiovascular C-arm CT Reconstruction Using a Proximal Algorithm." Proceedings of the 2017 IEEE International Symposium on Biomedical Imaging, Melbourne, Australia IEEE Computer Society, 2017. 52-55.
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