| Autor: |
Langet, H., Riddell, C., Trousset, Y., Tenenhaus, A., Lahalle, E., Fleury, G., Paragios, N. |
| Zdroj: |
2012 9th IEEE International Symposium on Biomedical Imaging (ISBI); 1/ 1/2012, p884-887, 4p |
| Abstrakt: |
Digital Subtraction Rotational Angiography (DSRA) is a clinical protocol that allows three-dimensional (3D) visualization of vasculature during minimally invasive procedures. C-arm systems that are used to generate 3D reconstructions in interventional radiology have limited sampling rate and thus, contrast resolution. To address this particular subsampling problem, we propose a novel iterative reconstruction algorithm based on compressed sensing. To this purpose, we exploit both spatial and temporal sparsity of DSRA. For computational efficiency, we use a proximal implementation that accommodates multiple ℓ1-penalties. Experiments on both simulated and clinical data confirm the relevance of our strategy for reducing subsampling streak artifacts. [ABSTRACT FROM PUBLISHER] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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