{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T14:17:36Z","timestamp":1785421056848,"version":"3.56.0"},"reference-count":37,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T00:00:00Z","timestamp":1764201600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001665","name":"French National Research Agency","doi-asserted-by":"publisher","award":["ANR-11-EQPX-0030"],"award-info":[{"award-number":["ANR-11-EQPX-0030"]}],"id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Programme d\u2019Investissements d\u2019Avenir","award":["ANR-10-IAHU04-LIRYC"],"award-info":[{"award-number":["ANR-10-IAHU04-LIRYC"]}]},{"name":"Programme d\u2019Investissements d\u2019Avenir","award":["ANR-22-CPJ2-0009-01"],"award-info":[{"award-number":["ANR-22-CPJ2-0009-01"]}]},{"DOI":"10.13039\/501100000781","name":"European Research Council","doi-asserted-by":"publisher","award":["101076351"],"award-info":[{"award-number":["101076351"]}],"id":[{"id":"10.13039\/501100000781","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"abstract":"<jats:p>Background\/Objectives: Cardiac magnetic resonance (CMR) imaging is a key tool for diagnosing cardiovascular disease, but its analysis remains time-consuming and dependent on expert interpretation, which can limit throughput and reproducibility. To address these challenges, we aim to develop an automated solution that streamlines CMR post-processing, enabling consistent, rapid, and quantitative assessment of cardiac structures and myocardial pathology. Methods: We introduce SPOT-Cardio, an AI-powered imaging analysis toolbox based on a 2D breath-held late gadolinium enhancement (LGE) imaging technology: SPOT. This acquisition combines BR- and BL-LGE images in a single scan, allowing simultaneous capture of high-contrast scar information and detailed cardiac anatomy. Using the resulting CMR images, deep learning models (based on 2D U-Net or MedFormer) were trained to segment cardiac structures and myocardial scars. The trained models and associated image-processing algorithms were then integrated into the open-source medInria platform and specifically within its cardiac-focused MUSICardio application. Results: SPOT-Cardio enables automatic segmentation of cardiac structures and myocardial scars, performs landmark-based regional localization, and extracts key biomarkers such as scar volume, extent, and transmurality. The resulting quantitative measures are presented in standardized bullseye plots accompanied by detailed clinical reports. Conclusions: With a one-click workflow and intuitive visualization, SPOT-Cardio reduces manual workload and supports more accessible and consistent cardiovascular assessment. By integrating advanced image acquisition with AI-based automation, it provides a practical and efficient solution for streamlined and quantitative CMR analysis.<\/jats:p>","DOI":"10.3390\/jcm14238428","type":"journal-article","created":{"date-parts":[[2025,11,28]],"date-time":"2025-11-28T11:19:51Z","timestamp":1764328791000},"page":"8428","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["SPOT-Cardio: Integrated Application for AI-Powered Automated Myocardial Scar Quantification on Joint Bright- and Black-Blood Late Gadolinium Enhancement MRI Images"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-3481-8499","authenticated-orcid":false,"given":"Kun","family":"He","sequence":"first","affiliation":[{"name":"IHU LIRYC, Heart Rhythm Disease Institute, H\u00f4pital Xavier Arnozan, Universit\u00e9 de Bordeaux\u2013INSERM U1045, Avenue du Haut L\u00e9v\u00eaque, 33604 Pessac, France"},{"name":"Department of Cardiovascular Imaging, H\u00f4pital Cardiologique du Haut-L\u00e9v\u00eaque, CHU de Bordeaux, Avenue de Magellan, 33604 Pessac, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4669-3562","authenticated-orcid":false,"given":"Edouard","family":"Gerbaud","sequence":"additional","affiliation":[{"name":"IHU LIRYC, Heart Rhythm Disease Institute, H\u00f4pital Xavier Arnozan, Universit\u00e9 de Bordeaux\u2013INSERM U1045, Avenue du Haut L\u00e9v\u00eaque, 33604 Pessac, France"},{"name":"Cardiology Intensive Care Unit and Interventional Cardiology, H\u00f4pital Cardiologique du Haut-L\u00e9v\u00eaque, CHU de Bordeaux, Avenue de Magellan, 33604 Pessac, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-3661-6356","authenticated-orcid":false,"given":"Tha\u00efs","family":"G\u00e9nisson","sequence":"additional","affiliation":[{"name":"IHU LIRYC, Heart Rhythm Disease Institute, H\u00f4pital Xavier Arnozan, Universit\u00e9 de Bordeaux\u2013INSERM U1045, Avenue du Haut L\u00e9v\u00eaque, 33604 Pessac, France"},{"name":"Department of Cardiovascular Imaging, H\u00f4pital Cardiologique du Haut-L\u00e9v\u00eaque, CHU de Bordeaux, Avenue de Magellan, 33604 Pessac, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Victor","family":"de Villedon de Naide","sequence":"additional","affiliation":[{"name":"IHU LIRYC, Heart Rhythm Disease Institute, H\u00f4pital Xavier Arnozan, Universit\u00e9 de Bordeaux\u2013INSERM U1045, Avenue du Haut L\u00e9v\u00eaque, 33604 Pessac, France"},{"name":"Department of Cardiovascular Imaging, H\u00f4pital Cardiologique du Haut-L\u00e9v\u00eaque, CHU de Bordeaux, Avenue de Magellan, 33604 Pessac, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-6616-5384","authenticated-orcid":false,"given":"Th\u00e9o","family":"Richard","sequence":"additional","affiliation":[{"name":"IHU LIRYC, Heart Rhythm Disease Institute, H\u00f4pital Xavier Arnozan, Universit\u00e9 de Bordeaux\u2013INSERM U1045, Avenue du Haut L\u00e9v\u00eaque, 33604 Pessac, France"},{"name":"Department of Cardiovascular Imaging, H\u00f4pital Cardiologique du Haut-L\u00e9v\u00eaque, CHU de Bordeaux, Avenue de Magellan, 33604 Pessac, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-7919-0023","authenticated-orcid":false,"given":"Kalvin","family":"Narceau","sequence":"additional","affiliation":[{"name":"IHU LIRYC, Heart Rhythm Disease Institute, H\u00f4pital Xavier Arnozan, Universit\u00e9 de Bordeaux\u2013INSERM U1045, Avenue du Haut L\u00e9v\u00eaque, 33604 Pessac, France"},{"name":"Department of Cardiovascular Imaging, H\u00f4pital Cardiologique du Haut-L\u00e9v\u00eaque, CHU de Bordeaux, Avenue de Magellan, 33604 Pessac, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mathilde","family":"Merle","sequence":"additional","affiliation":[{"name":"IHU LIRYC, Heart Rhythm Disease Institute, H\u00f4pital Xavier Arnozan, Universit\u00e9 de Bordeaux\u2013INSERM U1045, Avenue du Haut L\u00e9v\u00eaque, 33604 Pessac, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6256-8350","authenticated-orcid":false,"given":"Maxime","family":"Sermesant","sequence":"additional","affiliation":[{"name":"IHU LIRYC, Heart Rhythm Disease Institute, H\u00f4pital Xavier Arnozan, Universit\u00e9 de Bordeaux\u2013INSERM U1045, Avenue du Haut L\u00e9v\u00eaque, 33604 Pessac, France"},{"name":"Centre Inria d\u2019Universit\u00e9 C\u00f4te d\u2019Azur, 06902 Sophia Antipolis, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthias","family":"Stuber","sequence":"additional","affiliation":[{"name":"IHU LIRYC, Heart Rhythm Disease Institute, H\u00f4pital Xavier Arnozan, Universit\u00e9 de Bordeaux\u2013INSERM U1045, Avenue du Haut L\u00e9v\u00eaque, 33604 Pessac, France"},{"name":"Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland"},{"name":"Center for Biomedical Imaging (CIBM), 1015 Lausanne, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hubert","family":"Cochet","sequence":"additional","affiliation":[{"name":"IHU LIRYC, Heart Rhythm Disease Institute, H\u00f4pital Xavier Arnozan, Universit\u00e9 de Bordeaux\u2013INSERM U1045, Avenue du Haut L\u00e9v\u00eaque, 33604 Pessac, France"},{"name":"Department of Cardiovascular Imaging, H\u00f4pital Cardiologique du Haut-L\u00e9v\u00eaque, CHU de Bordeaux, 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Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,11,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1007\/s11886-015-0679-4","article-title":"25 by 25: Achieving global reduction in cardiovascular mortality","volume":"18","author":"Dugani","year":"2016","journal-title":"Curr. 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