{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T12:10:15Z","timestamp":1769602215632,"version":"3.49.0"},"reference-count":45,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2017,5,1]],"date-time":"2017-05-01T00:00:00Z","timestamp":1493596800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61672423"],"award-info":[{"award-number":["61672423"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"China Post-doctoral Science Foundation","award":["2016M590948"],"award-info":[{"award-number":["2016M590948"]}]}],"content-domain":{"domain":["clinicalkey.jp","clinicalkey.com","mrijournal.com","clinicalkey.es","clinicalkey.com.au","clinicalkey.fr","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2017,5]]},"DOI":"10.1016\/j.mri.2017.01.011","type":"journal-article","created":{"date-parts":[[2017,1,17]],"date-time":"2017-01-17T13:48:31Z","timestamp":1484660911000},"page":"202-213","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":29,"special_numbering":"C","title":["Left ventricle segmentation via two-layer level sets with circular shape constraint"],"prefix":"10.1016","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5933-0950","authenticated-orcid":false,"given":"Cong","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiguo","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuanqi","family":"Su","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaoxiang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.mri.2017.01.011_bb0005","unstructured":"http:\/\/www.who.int\/mediacentre\/factsheets\/fs317\/en\/."},{"issue":"2","key":"10.1016\/j.mri.2017.01.011_bb0010","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/j.media.2010.12.004","article-title":"A review of segmentation methods in short axis cardiac MR images","volume":"15","author":"Petitjean","year":"2011","journal-title":"Med Image Anal"},{"issue":"1","key":"10.1016\/j.mri.2017.01.011_bb0015","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1109\/42.906421","article-title":"Three-dimensional modeling for functional analysis of cardiac images, a review","volume":"20","author":"Frangi","year":"2001","journal-title":"IEEE Trans Med Imaging"},{"issue":"4","key":"10.1016\/j.mri.2017.01.011_bb0020","doi-asserted-by":"crossref","first-page":"895","DOI":"10.1002\/jmri.24239","article-title":"CMR reference values for left ventricular volumes, mass, and ejection fraction using computer-aided analysis: the Framingham heart study","volume":"39","author":"Chuang","year":"2014","journal-title":"J Magn Reson Imaging"},{"issue":"5","key":"10.1016\/j.mri.2017.01.011_bb0025","doi-asserted-by":"crossref","first-page":"1478","DOI":"10.1002\/mrm.23127","article-title":"Accurate computer-aided quantification of left ventricular parameters: experience in 1555 cardiac magnetic resonance studies from the Framingham heart study","volume":"67","author":"Hautvast","year":"2012","journal-title":"Magn Reson Med"},{"issue":"7","key":"10.1016\/j.mri.2017.01.011_bb0030","doi-asserted-by":"crossref","first-page":"1115","DOI":"10.1016\/j.media.2014.06.001","article-title":"Fast automatic myocardial segmentation in 4d cine CMR datasets","volume":"18","author":"Queirs","year":"2014","journal-title":"Med Image Anal"},{"issue":"2","key":"10.1016\/j.mri.2017.01.011_bb0035","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1109\/TMI.2013.2287793","article-title":"Regional assessment of cardiac left ventricular myocardial function via MRI statistical features","volume":"33","author":"Afshin","year":"2014","journal-title":"IEEE Trans Med Imaging"},{"issue":"1","key":"10.1016\/j.mri.2017.01.011_bb0040","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/j.media.2014.10.004","article-title":"Right ventricle segmentation from cardiac MRI: a collation study","volume":"19","author":"Petitjean","year":"2015","journal-title":"Med Image Anal"},{"key":"10.1016\/j.mri.2017.01.011_bb0045","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1016\/j.media.2016.01.005","article-title":"A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI","volume":"30","author":"Avendi","year":"2016","journal-title":"Med Image Anal"},{"issue":"3","key":"10.1016\/j.mri.2017.01.011_bb0050","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1161\/CIRCGENETICS.113.000362","article-title":"Abnormal cardiac formation in hypertrophic cardiomyopathy: fractal analysis of trabeculae and preclinical gene expression.","volume":"7","author":"Captur","year":"2014","journal-title":"Cir Cardiovasc Genet"},{"issue":"3","key":"10.1016\/j.mri.2017.01.011_bb0055","doi-asserted-by":"crossref","first-page":"617","DOI":"10.1007\/s10554-012-0130-5","article-title":"Improving the reproducibility of MR-derived left ventricular volume and function measurements with a semi-automatic threshold-based segmentation algorithm","volume":"29","author":"Jaspers","year":"2013","journal-title":"Int J Cardiovasc Imaging"},{"issue":"1","key":"10.1016\/j.mri.2017.01.011_bb0060","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1148\/radiol.2353040601","article-title":"Effect of endocardial trabeculae on left ventricular measurements and measurement reproducibility at cardiovascular MR imaging","volume":"236","author":"Papavassiliu","year":"2005","journal-title":"Radiology"},{"issue":"8","key":"10.1016\/j.mri.2017.01.011_bb0065","doi-asserted-by":"crossref","first-page":"1010","DOI":"10.1016\/j.media.2013.05.002","article-title":"Left ventricle segmentation in MRI via convex relaxed distribution matching","volume":"17","author":"Nambakhsh","year":"2013","journal-title":"Med Image Anal"},{"key":"10.1016\/j.mri.2017.01.011_bb0070","series-title":"Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012","first-page":"691","article-title":"Active shape model with inter-profile modeling paradigm for cardiac right ventricle segmentation","author":"ElBaz","year":"2012"},{"issue":"2","key":"10.1016\/j.mri.2017.01.011_bb0075","doi-asserted-by":"crossref","first-page":"350","DOI":"10.1109\/TMI.2009.2030799","article-title":"4-d cardiac MR image analysis: left and right ventricular morphology and function","volume":"29","author":"Zhang","year":"2010","journal-title":"IEEE Trans Med Imaging"},{"key":"10.1016\/j.mri.2017.01.011_bb0080","series-title":"LV challenge LKEB contribution: fully automated myocardial contour detection","author":"Wijnhout","year":"2009"},{"issue":"5","key":"10.1016\/j.mri.2017.01.011_bb0085","doi-asserted-by":"crossref","first-page":"595","DOI":"10.1109\/TITB.2008.926477","article-title":"A 3-d active shape model driven by fuzzy inference: application to cardiac CT and MR","volume":"12","author":"van Assen","year":"2008","journal-title":"IEEE Trans Inf Technol Biomed"},{"issue":"2","key":"10.1016\/j.mri.2017.01.011_bb0090","doi-asserted-by":"crossref","first-page":"445","DOI":"10.1109\/TBME.2011.2174235","article-title":"Accurate automatic analysis of cardiac cine images","volume":"59","author":"Khalifa","year":"2012","journal-title":"IEEE Trans Biomed Eng"},{"issue":"1","key":"10.1016\/j.mri.2017.01.011_bb0095","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.media.2014.09.005","article-title":"Multi-atlas segmentation with augmented features for cardiac MR images","volume":"19","author":"Bai","year":"2015","journal-title":"Med Image Anal"},{"key":"10.1016\/j.mri.2017.01.011_bb0100","series-title":"IEEE 11th International Symposium on Biomedical Imaging - ISBI 2014","first-page":"429","article-title":"Joint segmentation of right and left cardiac ventricles using multi-label graph cut","author":"Grosgeorge","year":"2014"},{"issue":"7","key":"10.1016\/j.mri.2017.01.011_bb0105","doi-asserted-by":"crossref","first-page":"1302","DOI":"10.1109\/TMI.2013.2256922","article-title":"A probabilistic patch-based label fusion model for multi-atlas segmentation with registration refinement: application to Cardiac MR Images","volume":"32","author":"Bai","year":"2013","journal-title":"IEEE Trans Med Imaging"},{"key":"10.1016\/j.mri.2017.01.011_bb0110","series-title":"Functional Imaging and Modeling of the Heart: 7th International Conference - FIMH 2013","first-page":"174","article-title":"Multi-atlas propagation whole heart segmentation from MRI and CTA using a local normalised correlation coefficient criterion","author":"Zuluaga","year":"2013"},{"key":"10.1016\/j.mri.2017.01.011_bb0115","first-page":"425","article-title":"An atlas-based segmentation propagation framework using locally affine registration application to automatic whole heart segmentation","author":"Zhuang","year":"2008"},{"key":"10.1016\/j.mri.2017.01.011_bb0120","series-title":"Medical Image Computing and Computer-Assisted Intervention - MICCAI 2004","first-page":"443","article-title":"Border detection on short axis echocardiographic views using a region based ellipse-driven framework","author":"Taron","year":"2004"},{"key":"10.1016\/j.mri.2017.01.011_bb0125","series-title":"Computing in Cardiology 2010","first-page":"409","article-title":"Segmentation of the full myocardium in echocardiography using constrained level-sets","author":"Alessandrini","year":"2010"},{"issue":"2","key":"10.1016\/j.mri.2017.01.011_bb0130","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1016\/j.media.2011.10.003","article-title":"Detection of the whole myocardium in 2D-echocardiography for multiple orientations using a geometrically constrained level-set","volume":"16","author":"Dietenbeck","year":"2012","journal-title":"Med Image Anal"},{"issue":"2","key":"10.1016\/j.mri.2017.01.011_bb0135","doi-asserted-by":"crossref","first-page":"266","DOI":"10.1109\/83.902291","article-title":"Active contours without edges","volume":"10","author":"Chan","year":"2001","journal-title":"IEEE Trans Image Process"},{"issue":"12","key":"10.1016\/j.mri.2017.01.011_bb0140","doi-asserted-by":"crossref","first-page":"3243","DOI":"10.1109\/TIP.2010.2069690","article-title":"Distance regularized level set evolution and its application to image segmentation","volume":"19","author":"Li","year":"2010","journal-title":"IEEE Trans Image Process"},{"issue":"10","key":"10.1016\/j.mri.2017.01.011_bb0145","doi-asserted-by":"crossref","first-page":"1940","DOI":"10.1109\/TIP.2008.2002304","article-title":"Minimization of region-scalable fitting energy for image segmentation","volume":"17","author":"Li","year":"2008","journal-title":"IEEE Trans Image Process"},{"key":"10.1016\/j.mri.2017.01.011_bb0150","series-title":"IEEE conference on computer vision and pattern recognition - CVPR 2014","first-page":"3118","article-title":"Fully automated non-rigid segmentation with distance regularized level set evolution initialized and constrained by deep-structured inference","author":"Ngo","year":"2014"},{"key":"10.1016\/j.mri.2017.01.011_bb0155","series-title":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","first-page":"3225","article-title":"Finding image distributions on active curves","author":"Ayed","year":"2010"},{"issue":"5","key":"10.1016\/j.mri.2017.01.011_bb0160","doi-asserted-by":"crossref","first-page":"834","DOI":"10.1109\/TPAMI.2011.201","article-title":"Active curve recovery of region boundary patterns","volume":"34","author":"Salah","year":"2012","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"9","key":"10.1016\/j.mri.2017.01.011_bb0165","doi-asserted-by":"crossref","first-page":"724","DOI":"10.1118\/1.4817478","article-title":"Myocardial borders segmentation from cine MR images using bidirectional coupled parametric deformable models.","volume":"40","author":"Sliman","year":"2013","journal-title":"Med Phys"},{"issue":"4","key":"10.1016\/j.mri.2017.01.011_bb0170","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1016\/j.compmedimag.2006.03.009","article-title":"Left-ventricle myocardium segmentation using a coupled level-set with a priori knowledge","volume":"30","author":"Lynch","year":"2006","journal-title":"Comput Med Imaging Graph"},{"key":"10.1016\/j.mri.2017.01.011_bb0175","series-title":"Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013: 16th International Conference, Nagoya, Japan, September 22\u201326, 2013, Proceedings, Part I","first-page":"477","article-title":"Segmentation of the left ventricle using distance regularized two-layer level set approach","author":"Feng","year":"2013"},{"issue":"6","key":"10.1016\/j.mri.2017.01.011_bb0180","doi-asserted-by":"crossref","first-page":"2741","DOI":"10.1118\/1.4947126","article-title":"Simultaneous extraction of endocardial and epicardial contours of the left ventricle by distance regularized level sets","volume":"43","author":"Feng","year":"2016","journal-title":"Med Phys"},{"issue":"5","key":"10.1016\/j.mri.2017.01.011_bb0185","doi-asserted-by":"crossref","first-page":"699","DOI":"10.1016\/j.mri.2015.12.027","article-title":"Distance regularized two level sets for segmentation of left and right ventricles from cine-MRI","volume":"34","author":"Liu","year":"2016","journal-title":"Magn Reson Imaging"},{"key":"10.1016\/j.mri.2017.01.011_bb0190","series-title":"The MIDAS Journal - Cardiac MR Left Ventricle Segmentation Challenge","article-title":"Evaluation framework for algorithms segmenting short axis cardiac MRI.","author":"Radau","year":"2009"},{"issue":"3","key":"10.1016\/j.mri.2017.01.011_bb0195","doi-asserted-by":"crossref","first-page":"297","DOI":"10.2307\/1932409","article-title":"Measures of the amount of ecologic association between species","volume":"26","author":"Dice","year":"1945","journal-title":"Ecology"},{"key":"10.1016\/j.mri.2017.01.011_bb0200","series-title":"The MIDAS Journal - Cardiac MR Left Ventricle Segmentation Challenge","article-title":"Automatic image-driven segmentation of left ventricle in cardiac cine MRI","author":"Lu","year":"2009"},{"key":"10.1016\/j.mri.2017.01.011_bb0205","series-title":"Fully automatic left ventricle segmentation in cardiac cine MR images using registration and minimum surfaces","author":"Jolly","year":"2009"},{"issue":"4","key":"10.1016\/j.mri.2017.01.011_bb0210","doi-asserted-by":"crossref","first-page":"575","DOI":"10.1016\/j.mri.2012.10.004","article-title":"Hybrid segmentation of left ventricle in cardiac MRI using Gaussian-mixture model and region restricted dynamic programming","volume":"31","author":"Hu","year":"2013","journal-title":"Magn Reson Imaging"},{"key":"10.1016\/j.mri.2017.01.011_bb0215","series-title":"2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)","first-page":"254","article-title":"Segmentation of myocardium using deformable regions and graph cuts","author":"Uzunba","year":"2012"},{"key":"10.1016\/j.mri.2017.01.011_bb0220","series-title":"2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society","first-page":"3207","article-title":"Fully automated segmentation of the left ventricle applied to cine MR images: description and results on a database of 45 subjects","author":"Constantinids","year":"2012"},{"issue":"6","key":"10.1016\/j.mri.2017.01.011_bb0225","doi-asserted-by":"crossref","first-page":"723","DOI":"10.1016\/j.acra.2012.02.011","article-title":"Automatic left ventricle segmentation in cardiac {MRI} using topological stable-state thresholding and region restricted dynamic programming","volume":"19","author":"Liu","year":"2012","journal-title":"Acad Radiol"}],"container-title":["Magnetic Resonance Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0730725X17300115?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0730725X17300115?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2018,9,4]],"date-time":"2018-09-04T22:20:43Z","timestamp":1536099643000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0730725X17300115"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5]]},"references-count":45,"alternative-id":["S0730725X17300115"],"URL":"https:\/\/doi.org\/10.1016\/j.mri.2017.01.011","relation":{},"ISSN":["0730-725X"],"issn-type":[{"value":"0730-725X","type":"print"}],"subject":[],"published":{"date-parts":[[2017,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Left ventricle segmentation via two-layer level sets with circular shape constraint","name":"articletitle","label":"Article Title"},{"value":"Magnetic Resonance Imaging","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.mri.2017.01.011","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2017 Elsevier Inc. All rights reserved.","name":"copyright","label":"Copyright"}]}}