Compressed sensing subtracted rotational angiography with multiple sparse penalty

Abstract : 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 '1-penalties. Experiments on both simulated and clinical data confirm the relevance of our strategy for reducing subsampling streak artifacts.
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Communication dans un congrès
2012 9th IEEE International Symposium on Biomedical Imaging (ISBI 2012) , May 2012, Barcelone, Spain. pp.884-887, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI 2012) 〈10.1109/ISBI.2012.6235690〉
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Hélène Langet, C. Riddell, Y. Trousset, Arthur Tenenhaus, Elisabeth Lahalle, et al.. Compressed sensing subtracted rotational angiography with multiple sparse penalty. 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI 2012) , May 2012, Barcelone, Spain. pp.884-887, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI 2012) 〈10.1109/ISBI.2012.6235690〉. 〈hal-00725950〉

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