QuantLUS - CPS v1.0

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.

Creator(s) Oktay Karakus, Alin Achim
Contributor(s) Pui Anantrasirichai, Amazigh Aguersif, Stein Silva, Adrian Basarab
Publication date 12 Jun 2020
Language eng
Publisher University of Bristol
Licence Non-Commercial Government Licence for public sector information
DOI 10.5523/bris.z47pfkwqivfj2d0qhyq7v3u1i
Complete download (zip) https://data.bris.ac.uk/datasets/z47pfkwqivfj2d0qhyq7v3u1i/z47pfkwqivfj2d0qhyq7v3u1i.zip
Citation Oktay Karakus, Alin Achim (2020): QuantLUS - CPS v1.0. https://doi.org/10.5523/bris.z47pfkwqivfj2d0qhyq7v3u1i
Total size 149.7 KiB

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