Compressed sensing subtracted rotational angiography with multiple sparse penalty

Hélène Langet; C. Riddell; Y. Trousset; Arthur Tenenhaus; Elisabeth Lahalle; Gilles Fleury; Nikos Paragios

doi:10.1109/ISBI.2012.6235690

Compressed sensing subtracted rotational angiography with multiple sparse penalty

Hélène Langet ^{1, 2, 3} C. Riddell ³ Y. Trousset ³ Arthur Tenenhaus ¹ Elisabeth Lahalle ¹ Gilles Fleury ¹ Nikos Paragios ^{2, 4, 5}

1 E3S - Supélec Sciences des Systèmes [Gif-sur-Yvette]

2 MAS - Mathématiques Appliquées aux Systèmes - EA 4037

3 GE Healthcare - General Electric Medical Systems [Buc]

4 GALEN - Organ Modeling through Extraction, Representation and Understanding of Medical Image Content

Ecole Centrale Paris, Inria Saclay - Ile de France

5 CVN - Centre de vision numérique

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.

Document type :

Conference papers

Domain :

Computer Science [cs] / Medical Imaging

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https://hal-supelec.archives-ouvertes.fr/hal-00725950
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