Name
Title | ||
|---|---|---|
Spatio-temporally regularized 4-D cardiovascular C-arm CT reconstruction using a proximal algorithm |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/ISBI.2017.7950466 | 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017) |
Keywords | Field | DocType |
Spatio-temporal regularization,Cardiovascular reconstruction,Total variation,C-arm CT | Iterative reconstruction,Computer vision,Tomographic reconstruction,Gating,Computer science,Imaging phantom,Motion compensation,Undersampling,Algorithm,Ground truth,Artificial intelligence,Cardiac motion | Conference |
ISBN | Citations | PageRank |
978-1-5090-1173-5 | 0 | 0.34 |
References | Authors | |
4 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Oliver Taubmann | 1 | 13 | 6.24 |
| mathias unberath | 2 | 56 | 24.46 |
| Günter Lauritsch | 3 | 65 | 13.99 |
| Stephan Achenbach | 4 | 4 | 3.57 |
| Andreas K. Maier | 5 | 560 | 178.76 |