QuantLUS - CPS v1.0

Karakus, Oktay ORCID: https://orcid.org/0000-0001-8009-9319 and Achim, Alin 2020. QuantLUS - CPS v1.0. University of Bristol. Available at: http://doi.org/10.5523/BRIS.Z47PFKWQIVFJ2D0QHYQ7V3...

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Abstract

This source code package includes the MATLAB source codes for implementing a novel method for line artefacts quantification in lung ultrasound (LUS) images of COVID-19 patients. The method is formulated as a non-convex regularisation problem involving a sparsity-enforcing, Cauchy-based penalty function, and the inverse Radon transform. Moreover, a simple local maxima detection technique in the Radon transform domain, associated with known clinical definitions of line artefacts, is employed. The method accurately identifies both horizontal and vertical line artefacts in LUS images. In order to reduce the number of false and missed detection, the method includes a two-stage validation mechanism, which is performed in both Radon and image domains.

Item Type:	Dataset
Date Type:	Published Online
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	University of Bristol
Last Modified:	19 May 2023 02:07
URI:	https://orca.cardiff.ac.uk/id/eprint/145200

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