{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T15:59:47Z","timestamp":1791907187533,"version":"4.3.4"},"reference-count":21,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2026,8,14]],"date-time":"2026-08-14T00:00:00Z","timestamp":1786665600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"crossref"}]},{"id":[{"id":"https:\/\/ror.org\/01cwqze88","id-type":"ROR","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Tomography"],"abstract":"<jats:p>Visualization of coronary computed tomography angiography (CCTA) in standard cardiac planes requires reorientation of the three-dimensional image volume because the heart is double-oblique relative to the axial scan plane. To standardize this process across multi-phase cine CCTA, we developed an automated framework that segments cardiac structures and detects anatomic landmarks to define a patient-specific cardiac coordinate system. Landmark-derived left ventricular (LV) long-axis and LV-to-right ventricular transverse vectors were used to compute a rotation matrix for reorienting all 20 cine CCTA volumes. Six fixed slice planes were then defined to extract three long-axis (LAX) and three short-axis (SAX) slices at each phase. Matched CCTA and cardiac magnetic resonance (MR) slices were compared in 25 patients at diastasis, end-diastole (ED), and end-systole (ES), using automated segmentation-derived measurements of the combined LV cavity and LV myocardium area (LV + LVM). Agreement was evaluated with intraclass correlation coefficients (ICCs), Bland\u2013Altman analysis, and repeated-measures mixed-effects models. ICCs were 0.927 (95% CI, 0.895 to 0.950) at diastasis, 0.950 (95% CI, 0.928 to 0.966) at ED, and 0.919 (95% CI, 0.887 to 0.943) at ES. Bland\u2013Altman analysis showed small CT-positive biases of 1.05, 0.47, and 1.86 cm2 at diastasis, ED, and ES, corresponding to relative biases of 2.8%, 1.2%, and 5.8% of the phase-specific mean MR LV + LVM area. Mixed-effects models showed no statistically significant phase-level bias at diastasis or ED, whereas ES showed a small but significant CT-positive bias. These findings support automated CCTA reorientation as an interpretable framework for reproducible LAX\/SAX slice extraction and future quantitative functional cine CCTA analysis.<\/jats:p>","DOI":"10.3390\/tomography12080114","type":"journal-article","created":{"date-parts":[[2026,8,14]],"date-time":"2026-08-14T08:08:29Z","timestamp":1786694909000},"page":"114","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Automated Cardiac Reorientation and Slice Extraction in Cine Coronary CT Angiography: Agreement with Cardiovascular Magnetic Resonance"],"prefix":"10.3390","volume":"12","author":[{"given":"An-Yu","family":"Sun","sequence":"first","affiliation":[{"name":"National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA"},{"name":"Department of Computer Science, Catholic University of America, Washington, DC 20064, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0826-7290","authenticated-orcid":false,"given":"Li-Yueh","family":"Hsu","sequence":"additional","affiliation":[{"name":"National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrew","family":"Heller","sequence":"additional","affiliation":[{"name":"National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA"},{"name":"Department of Computer Science, Catholic University of America, Washington, DC 20064, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4204-4699","authenticated-orcid":false,"given":"Matthew","family":"Jacobs","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Catholic University of America, Washington, DC 20064, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"W. Patricia","family":"Bandettini","sequence":"additional","affiliation":[{"name":"National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lin-Ching","family":"Chang","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Catholic University of America, Washington, DC 20064, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marcus Y.","family":"Chen","sequence":"additional","affiliation":[{"name":"National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,8,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"539","DOI":"10.1161\/hc0402.102975","article-title":"Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart","volume":"105","author":"Cerqueira","year":"2002","journal-title":"Circulation"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"353","DOI":"10.21037\/qims-2025-aw-2256","article-title":"A computer-aided method for the automatic localization of the left ventricular long axis on coronary computed tomography angiography","volume":"16","author":"Li","year":"2026","journal-title":"Quant. 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