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. 2023 Oct 30;23:171. doi: 10.1186/s12880-023-01139-7

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© The Author(s) 2023

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 2 — Quantitative analysis of the lumen and stent in the coronary artery. After identifying the center of the stent on a cross-sectional image, attenuation profiles were calculated (a: SR-DLR, b: MBIR). FWHM-lumen and FWHM-stent were measured (c: SR-DLR, d: MBIR). FWHM-stent was significantly thinner (p < 0.01), whereas FWHM-lumen was significantly larger on SR-DLR (p < 0.01) than on MBIR (e, f). SR-DLR, super-resolution deep learning reconstruction; MBIR, model-based iterative reconstruction; FWHM-lumen, full width at half maximum of the lumen; FWHM-stent, full width at half maximum of the stent