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ECOLE SUPÉRIEURE D'ÉLECTRICITÉ Une grande école d'ingénieurs au cœur des sciences de l'information,de l'énergie et des systèmes |
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Conference papers
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.
Cited literature [7 references]
https://hal-supelec.archives-ouvertes.fr/hal-00725950
Contributor : Alexandra Siebert <>
Submitted on : Tuesday, August 28, 2012 - 2:03:53 PM
Last modification on : Monday, December 14, 2020 - 12:38:06 PM
Long-term archiving on: : Thursday, November 29, 2012 - 3:36:12 AM
Contributor : Alexandra Siebert <>
Submitted on : Tuesday, August 28, 2012 - 2:03:53 PM
Last modification on : Monday, December 14, 2020 - 12:38:06 PM
Long-term archiving on: : Thursday, November 29, 2012 - 3:36:12 AM
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ISBI12_Langlet_vf.pdf
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