{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T08:56:57Z","timestamp":1769158617590,"version":"3.49.0"},"reference-count":16,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2021,2,11]],"date-time":"2021-02-11T00:00:00Z","timestamp":1613001600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2021,2,11]],"date-time":"2021-02-11T00:00:00Z","timestamp":1613001600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Imaging"],"published-print":{"date-parts":[[2021,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Coronary CT angiography (CCTA) is a complicated CT exam in comparison to other CT protocols. Exam success highly depends on image assessment of experienced radiologist and the procedure is often time-consuming. This study aims to evaluate feasibility of automatic CCTA reconstruction in 0.25\u00a0s rotation time, 16\u00a0cm coverage CT scanner with best phase selection and AI-assisted motion correction.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>CCTA exams of 90 patients with heart rates higher than 75\u00a0bpm were included in this study. Two image series were reconstructed\u2014one at automatically selected phase and another with additional motion correction. All reconstructions were performed without manual interaction of radiologist. A four-point Likert scale rating system was used to evaluate the image quality of coronary artery segment by two experienced radiologists, according to the 18-segment model. Analysis was done on per-segment basis.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Total 1194 out of the 1620 segments were identified for quality evaluation in 90 patients. After automatic best phase selection, 1172 segments (98.3%) were rated as having diagnostic image quality (scores 2\u20134) and the average score is 3.64\u2009\u00b1\u20090.55. When motion corrections were applied, diagnostic segment number increases to 1192 (99.8%) and the average score is 3.85\u2009\u00b1\u20090.37.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>With the help of 0.25\u00a0s rotation speed, 16-cm z-coverage and AI-assisted motion correction algorithm, CCTA exam reconstruction could be performed with minimum radiologist involvement and still meet image quality requirement.<\/jats:p><\/jats:sec>","DOI":"10.1186\/s12880-021-00559-7","type":"journal-article","created":{"date-parts":[[2021,2,11]],"date-time":"2021-02-11T17:04:01Z","timestamp":1613063041000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Image quality of automatic coronary CT angiography reconstruction for patients with HR\u2009\u2265\u200975\u00a0bpm using an AI-assisted 16-cm z-coverage CT scanner"],"prefix":"10.1186","volume":"21","author":[{"given":"Cheng","family":"Yan","sequence":"first","affiliation":[]},{"given":"Guofeng","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Xue","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Xiuliang","family":"Lu","sequence":"additional","affiliation":[]},{"given":"Mengsu","family":"Zeng","sequence":"additional","affiliation":[]},{"given":"Min","family":"Ji","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,2,11]]},"reference":[{"key":"559_CR1","doi-asserted-by":"publisher","first-page":"4506","DOI":"10.1002\/mp.12397","volume":"44","author":"P FitzGerald","year":"2017","unstructured":"FitzGerald P, Edic P, Gao H, Jin Y, Wang J, Wang G, et al. Quest for the ultimate cardiac CT scanner. Med Phys. 2017;44:4506\u201324.","journal-title":"Med Phys"},{"key":"559_CR2","doi-asserted-by":"publisher","first-page":"514","DOI":"10.1016\/j.jcct.2015.09.003","volume":"9","author":"MH Al-Mallah","year":"2015","unstructured":"Al-Mallah MH, Aljizeeri A, Villines TC, Srichai MB, Alsaileek A. Cardiac computed tomography in current cardiology guidelines. J Cardiovasc Comput Tomogr. 2015;9:514\u201323.","journal-title":"J Cardiovasc Comput Tomogr"},{"key":"559_CR3","doi-asserted-by":"publisher","first-page":"1583","DOI":"10.3348\/kjr.2019.0327","volume":"20","author":"EJ Kang","year":"2019","unstructured":"Kang EJ. Clinical applications of wide-detector CT scanners for cardiothoracic imaging: an update. Korean J Radiol. 2019;20:1583\u201396.","journal-title":"Korean J Radiol"},{"key":"559_CR4","doi-asserted-by":"publisher","first-page":"4215","DOI":"10.1007\/s00330-018-5929-6","volume":"29","author":"J Liang","year":"2019","unstructured":"Liang J, Sun Y, Ye Z, Sun Y, Xu L, Zhou Z, et al. Second-generation motion correction algorithm improves diagnostic accuracy of single-beat coronary CT angiography in patients with increased heart rate. Eur Radiol. 2019;29:4215\u201327.","journal-title":"Eur Radiol"},{"key":"559_CR5","doi-asserted-by":"crossref","unstructured":"Quan G, Wang Y, Wu X. An automatic dynamic optimal phase reconstruction for coronary CT. In: Medical imaging 2019: physics of medical imaging. 2019.","DOI":"10.1117\/12.2512647"},{"key":"559_CR6","doi-asserted-by":"publisher","first-page":"3345","DOI":"10.1118\/1.1791351","volume":"31","author":"R Manzke","year":"2004","unstructured":"Manzke R, K\u00f6hler T, Nielsen T, Hawkes D, Grass M. Automatic phase determination for retrospectively gated cardiac CT. Med Phys. 2004;31:3345\u201362.","journal-title":"Med Phys"},{"key":"559_CR7","doi-asserted-by":"publisher","first-page":"324","DOI":"10.1118\/1.4938265","volume":"43","author":"D Stassi","year":"2015","unstructured":"Stassi D, Dutta S, Ma H, Soderman A, Pazzani D, Gros E, et al. Automated selection of the optimal cardiac phase for single-beat coronary CT angiography reconstruction. Med Phys. 2015;43:324\u201335.","journal-title":"Med Phys"},{"key":"559_CR8","doi-asserted-by":"crossref","unstructured":"Milletari F, Navab N, Ahmadi S-A. V-Net: fully convolutional neural networks for volumetric medical image segmentation. In: Fourth international conference on 3D vision (3DV). 2016. p. 565\u201371.","DOI":"10.1109\/3DV.2016.79"},{"key":"559_CR9","doi-asserted-by":"crossref","unstructured":"Chen L-C, Papandreou G, Schroff F, Adam H. Rethinking atrous convolution for semantic image segmentation. arXiv Prepr arXiv170605587. 2017.","DOI":"10.1007\/978-3-030-01234-2_49"},{"key":"559_CR10","doi-asserted-by":"publisher","first-page":"198","DOI":"10.1016\/j.jcct.2011.06.001","volume":"5","author":"SS Halliburton","year":"2011","unstructured":"Halliburton SS, Abbara S, Chen MY, Gentry R, Mahesh M, Raff GL, et al. SCCT guidelines on radiation dose and dose-optimization strategies in cardiovascular CT. J Cardiovasc Comput Tomogr. 2011;5:198\u2013224.","journal-title":"J Cardiovasc Comput Tomogr"},{"key":"559_CR11","doi-asserted-by":"publisher","first-page":"342","DOI":"10.1016\/j.jcct.2014.07.003","volume":"8","author":"J Leipsic","year":"2014","unstructured":"Leipsic J, Abbara S, Achenbach S, Cury R, Earls JP, Mancini GBJ, et al. SCCT guidelines for the interpretation and reporting of coronary CT angiography: a report of the Society of Cardiovascular Computed Tomography Guidelines Committee. J Cardiovasc Comput Tomogr. 2014;8:342\u201358.","journal-title":"J Cardiovasc Comput Tomogr"},{"key":"559_CR12","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1148\/radiol.13122621","volume":"267","author":"MY Chen","year":"2013","unstructured":"Chen MY, Shanbhag SM, Arai AE. Submillisievert median radiation dose for coronary angiography with a second-generation 320-detector row CT scanner in 107 consecutive patients. Radiology. 2013;267:76\u201385.","journal-title":"Radiology"},{"key":"559_CR13","doi-asserted-by":"publisher","first-page":"1383","DOI":"10.1007\/s00330-017-5131-2","volume":"28","author":"D Andreini","year":"2018","unstructured":"Andreini D, Pontone G, Mushtaq S, Mancini ME, Conte E, Guglielmo M, et al. Image quality and radiation dose of coronary CT angiography performed with whole-heart coverage CT scanner with intra-cycle motion correction algorithm in patients with atrial fibrillation. Eur Radiol. 2018;28:1383\u201392.","journal-title":"Eur Radiol"},{"key":"559_CR14","doi-asserted-by":"publisher","first-page":"3036","DOI":"10.1007\/s00330-018-5837-9","volume":"29","author":"Y Chen","year":"2019","unstructured":"Chen Y, Liu Z, Li M, Yu Y, Jia Y, Ma G, et al. Reducing both radiation and contrast doses in coronary CT angiography in lean patients on a 16-cm wide-detector CT using 70 kVp and ASiR-V algorithm, in comparison with the conventional 100-kVp protocol. Eur Radiol. 2019;29:3036\u201343.","journal-title":"Eur Radiol"},{"key":"559_CR15","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1016\/j.jcct.2019.08.004","volume":"14","author":"S Mushtaq","year":"2020","unstructured":"Mushtaq S, Conte E, Pontone G, Pompilio G, Guglielmo M, Annoni A, et al. Interpretability of coronary CT angiography performed with a novel whole-heart coverage high-definition CT scanner in 300 consecutive patients with coronary artery bypass grafts. J Cardiovasc Comput Tomogr. 2020;14:137\u201343.","journal-title":"J Cardiovasc Comput Tomogr"},{"key":"559_CR16","doi-asserted-by":"publisher","first-page":"986-e1","DOI":"10.1016\/j.crad.2018.06.023","volume":"73","author":"T Shuai","year":"2018","unstructured":"Shuai T, Deng L, Pan Y, Li W, Liao K, Li J, et al. Free-breathing coronary CT angiography using 16-cm wide-detector for challenging patients: comparison with invasive coronary angiography. Clin Radiol. 2018;73:986-e1.","journal-title":"Clin Radiol"}],"container-title":["BMC Medical Imaging"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-021-00559-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s12880-021-00559-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-021-00559-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,24]],"date-time":"2024-08-24T01:55:00Z","timestamp":1724464500000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcmedimaging.biomedcentral.com\/articles\/10.1186\/s12880-021-00559-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,11]]},"references-count":16,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,12]]}},"alternative-id":["559"],"URL":"https:\/\/doi.org\/10.1186\/s12880-021-00559-7","relation":{},"ISSN":["1471-2342"],"issn-type":[{"value":"1471-2342","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,2,11]]},"assertion":[{"value":"26 November 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 February 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 February 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"This prospective study was approved by the Ethics Committee of Shanghai Zhongshan Hospital (Fudan University, Shanghai, China), and written informed consent was obtained from all participants.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that they have no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"24"}}