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A decomposition method for directional Total Variation with application to needle reconstruction in interventional imaging

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Abstract

In interventional radiology, 3D reconstruction of devices such as needles can increase the precision of procedures. Doing so with CBCT is time-consuming and increases the X-ray dose. Needles being sparse, a compressed-sensing reconstruction approach seems viable. In this paper, we thus investigate the benefits of directional total variation as an adequate prior for anisotropic devices. We introduce a decomposition method that allows several a priori directions to be considered at once as well as excludes the anatomical background that is not sparse. The capacity of the method is illustrated in simulations of limited-angle acquisitions. It allows good reconstruction of the needles from a small angular coverage, even if it cannot recover the anatomical background.
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Dates and versions

hal-03770330 , version 1 (30-11-2022)

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Marion Savanier, Cyril Riddell, Yves Trousset, Emilie Chouzenoux, Jean-Christophe Pesquet. A decomposition method for directional Total Variation with application to needle reconstruction in interventional imaging. The 7th International Meeting on Image Formation in X-Ray Computed Tomography CT MEETING 2022, Jun 2022, Baltimore, United States. pp.123042W, ⟨10.1117/12.2647142⟩. ⟨hal-03770330⟩
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