{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T23:25:54Z","timestamp":1771457154220,"version":"3.50.1"},"reference-count":31,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2025,5,12]],"date-time":"2025-05-12T00:00:00Z","timestamp":1747008000000},"content-version":"vor","delay-in-days":41,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Pulm. circ."],"published-print":{"date-parts":[[2025,4]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:p>Artificial intelligence\u2010based cardiac motion mapping offers predictive insights into pulmonary hypertension (PH) disease progression and its impact on the heart. We proposed an automated deep learning pipeline for bi\u2010ventricular segmentation and 3D wall motion analysis in PH rodent models for bridging the clinical developments. A data set of 163 short\u2010axis cine cardiac magnetic resonance scans were collected longitudinally from monocrotaline (MCT) and Sugen\u2010hypoxia (SuHx) PH rats and used for training a fully convolutional network for automated segmentation. The model produced an accurate annotation in &lt;\u20091 s for each scan (Dice metric &gt;\u20090.92). High\u2010resolution atlas fitting was performed to produce 3D cardiac mesh models and calculate the regional wall motion between end\u2010diastole and end\u2010systole. Prominent right ventricular hypokinesia was observed in PH rats (\u221237.7%\u2009\u00b1\u200912.2 MCT; \u221238.6%\u2009\u00b1\u20096.9 SuHx) compared to healthy controls, attributed primarily to the loss in basal longitudinal and apical radial motion. This automated bi\u2010ventricular rat\u2010specific pipeline provided an efficient and novel translational tool for rodent studies in alignment with clinical cardiac imaging AI developments.<\/jats:p>","DOI":"10.1002\/pul2.70092","type":"journal-article","created":{"date-parts":[[2025,5,12]],"date-time":"2025-05-12T11:25:25Z","timestamp":1747049125000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Automated Bi\u2010Ventricular Segmentation and Regional Cardiac Wall Motion Analysis for Rat Models of Pulmonary Hypertension"],"prefix":"10.1002","volume":"15","author":[{"given":"Marili","family":"Niglas","sequence":"first","affiliation":[{"name":"National Heart and Lung Institute Imperial College London London UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicoleta","family":"Baxan","sequence":"additional","affiliation":[{"name":"National Heart and Lung Institute Imperial College London London UK"},{"name":"Biological Imaging Centre Imperial College London London UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ali","family":"Ashek","sequence":"additional","affiliation":[{"name":"National Heart and Lung Institute Imperial College London London UK"},{"name":"Biological Imaging Centre Imperial College London London UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Zhao","sequence":"additional","affiliation":[{"name":"National Heart and Lung Institute Imperial College London London UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinming","family":"Duan","sequence":"additional","affiliation":[{"name":"School of Computer Science University of Birmingham Birmingham UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Declan","family":"O'Regan","sequence":"additional","affiliation":[{"name":"MRC London Institute of Medical Sciences Imperial College London London UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7871-524X","authenticated-orcid":false,"given":"Timothy J. 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