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Compressed Sensing Dynamic Reconstruction in Rotational Angiography

Abstract : This work tackles three-dimensional reconstruction of tomographic acquisitions in C-arm-based rotational angiography. The relatively slow rotation speed of C-arm systems involves motion artifacts that limit the use of three-dimensional imaging in interventional procedures. The main contribution of this paper is a reconstruction algorithm that deals with the temporal variations due to intra-arterial injections. Based on a compressed-sensing approach, we propose a multiple phase reconstruction with spatio-temporal constraints. The algorithm was evaluated by qualitative and quantitative assessment of image quality on both numerical phantom experiments and clinical data from vascular C-arm systems. In this latter case, motion artifacts reduction was obtained in spite of the cone-beam geometry, the short-scan acquisition, and the truncated and subsampled data.
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Contributor : Alexandra Siebert <>
Submitted on : Thursday, November 22, 2012 - 3:16:54 PM
Last modification on : Wednesday, September 16, 2020 - 3:30:43 PM

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Hélène Langet, Cyril Riddell, Yves Trousset, Arthur Tenenhaus, Elisabeth Lahalle, et al.. Compressed Sensing Dynamic Reconstruction in Rotational Angiography. MICCAI'12, Oct 2012, Nice, France. pp.223-230, ⟨10.1007/978-3-642-33415-3_28⟩. ⟨hal-00756119⟩



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