{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T21:01:25Z","timestamp":1761253285311,"version":"3.37.3"},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2018,7,7]],"date-time":"2018-07-07T00:00:00Z","timestamp":1530921600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"National Key Research and Development Program","award":["2016YFC0106200"],"award-info":[{"award-number":["2016YFC0106200"]}]},{"name":"863 National Research Fund","award":["2015AA043203"],"award-info":[{"award-number":["2015AA043203"]}]},{"DOI":"10.13039\/501100003399","name":"Science and Technology Commission of Shanghai Municipality","doi-asserted-by":"publisher","award":["17JC1401600"],"award-info":[{"award-number":["17JC1401600"]}],"id":[{"id":"10.13039\/501100003399","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Nature Science Foundation of China","award":["61190120","61190124","61271318","81301283","81511130090"],"award-info":[{"award-number":["61190120","61190124","61271318","81301283","81511130090"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J CARS"],"published-print":{"date-parts":[[2018,10]]},"DOI":"10.1007\/s11548-018-1817-4","type":"journal-article","created":{"date-parts":[[2018,7,7]],"date-time":"2018-07-07T09:44:58Z","timestamp":1530956698000},"page":"1579-1590","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Myocardium segmentation from DE MRI with guided random walks and sparse shape representation"],"prefix":"10.1007","volume":"13","author":[{"given":"Jie","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4351-4979","authenticated-orcid":false,"given":"Xiahai","family":"Zhuang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongzhi","family":"Xie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuyang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6210-4847","authenticated-orcid":false,"given":"Lixu","family":"Gu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,7,7]]},"reference":[{"issue":"1","key":"1817_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jacc.2009.06.059","volume":"55","author":"HW Kim","year":"2009","unstructured":"Kim HW, Farzaneh-Far A, Kim RJ (2009) Cardiovascular magnetic resonance in patients with myocardial infarction: current and emerging applications. J Am Coll Cardiol 55(1):1\u201316","journal-title":"J Am Coll Cardiol"},{"issue":"3","key":"1817_CR2","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1136\/hrt.2009.172296","volume":"96","author":"AM Beek","year":"2010","unstructured":"Beek AM, van Rossum AC (2010) Cardiovascular magnetic resonance imaging in patients with acute myocardial infarction. Heart 96(3):237\u2013243","journal-title":"Heart"},{"issue":"2","key":"1817_CR3","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1016\/j.jcmg.2010.11.015","volume":"4","author":"AS Flett","year":"2011","unstructured":"Flett AS, Hasleton J, Cook C, Hausenloy D, Quarta G, Ariti C, Muthurangu V, Moon JC (2011) Evaluation of techniques for the quantification of myocardial scar of differing etiology using cardiac magnetic resonance. JACC Cardiovasc Imaging 4(2):150\u2013156","journal-title":"JACC Cardiovasc Imaging"},{"key":"1817_CR4","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1007\/978-3-642-13775-4_12","volume-title":"Lecture Notes in Computer Science","author":"Mohamed K. Metwally","year":"2010","unstructured":"Metwally MK, El-Gayar N, Osman NF (2010) Improved technique to detect the infarction in delayed enhancement image using k-mean method. In: Campilho A, Kamel M (eds) Image analysis and recognition. Springer, Berlin, pp 108\u2013119. https:\/\/doi.org\/10.1007\/978-3-642-13775-4_12"},{"key":"1817_CR5","doi-asserted-by":"crossref","unstructured":"Valindria VV, Angue M, Vignon N, Walker PM, Cochet A, Lalande A (2011) Automatic quantification of myocardial infarction from delayed enhancement MRI. In: 7th international conference on signal-image technology and internet-based systems (SITIS). IEEE, pp 277\u2013283","DOI":"10.1109\/SITIS.2011.83"},{"key":"1817_CR6","doi-asserted-by":"crossref","unstructured":"Elagouni K, Ciofolo-Veit C, Mory B (2010) Automatic segmentation of pathological tissues in cardiac MRI. In: IEEE international symposium on biomedical imaging: from nano to macro (ISBI). IEEE, pp 472\u2013475","DOI":"10.1109\/ISBI.2010.5490306"},{"issue":"11","key":"1817_CR7","doi-asserted-by":"publisher","first-page":"1592","DOI":"10.1109\/TMI.2008.2006512","volume":"27","author":"A Hennemuth","year":"2008","unstructured":"Hennemuth A, Seeger A, Friman O, Miller S, Klumpp B, Oeltze S, Peitgen H-O (2008) A comprehensive approach to the analysis of contrast enhanced cardiac MR images. IEEE Trans Med Imaging 27(11):1592\u20131610","journal-title":"IEEE Trans Med Imaging"},{"key":"1817_CR8","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1007\/978-3-642-36961-2_11","volume-title":"Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges","author":"Anja Hennemuth","year":"2013","unstructured":"Hennemuth A, Friman O, Huellebrand M, Peitgen H-O (2012) Mixture-model-based segmentation of myocardial delayed enhancement MRI. In: Camara O, Mansi T, Pop M, Rhode K, Sermesant M, Young A (eds) Statistical atlases and computational models of the heart. Imaging and modelling challenges. Springer, Berlin, pp 87\u201396. https:\/\/doi.org\/10.1007\/978-3-642-36961-2_11"},{"issue":"2","key":"1817_CR9","doi-asserted-by":"crossref","first-page":"586","DOI":"10.1002\/mrm.22422","volume":"64","author":"Q Tao","year":"2010","unstructured":"Tao Q, Milles J, Zeppenfeld K, Lamb HJ, Bax JJ, Reiber JH, van der Geest RJ (2010) Automated segmentation of myocardial scar in late enhancement MRI using combined intensity and spatial information. Magn Reson Med 64(2):586\u2013594","journal-title":"Magn Reson Med"},{"issue":"2","key":"1817_CR10","doi-asserted-by":"publisher","first-page":"390","DOI":"10.1002\/jmri.24804","volume":"42","author":"Q Tao","year":"2015","unstructured":"Tao Q, Piers SRD, Lamb HJ, van der Geest RJ (2015) Automated left ventricle segmentation in late gadolinium-enhanced MRI for objective myocardial scar assessment. J Magn Reson Imaging 42(2):390\u2013399. https:\/\/doi.org\/10.1002\/jmri.24804","journal-title":"J Magn Reson Imaging"},{"issue":"7","key":"1817_CR11","doi-asserted-by":"publisher","first-page":"1115","DOI":"10.1016\/j.media.2014.06.001","volume":"18","author":"S Queir\u00f3s","year":"2014","unstructured":"Queir\u00f3s S, Barbosa D, Heyde B, Morais P, Vila\u00e7a JL, Friboulet D, Bernard O, D\u2019hooge J (2014) Fast automatic myocardial segmentation in 4D cine CMR datasets. Med Image Anal 18(7):1115\u20131131. https:\/\/doi.org\/10.1016\/j.media.2014.06.001","journal-title":"Med Image Anal"},{"issue":"5","key":"1817_CR12","doi-asserted-by":"publisher","first-page":"699","DOI":"10.1016\/j.mri.2015.12.027","volume":"34","author":"Y Liu","year":"2016","unstructured":"Liu Y, Captur G, Moon JC, Guo SX, Yang XP, Zhang SX, Li CM (2016) Distance regularized two level sets for segmentation of left and right ventricles from cine-MRI. Magn Reson Imaging 34(5):699\u2013706. https:\/\/doi.org\/10.1016\/j.mri.2015.12.027","journal-title":"Magn Reson Imaging"},{"key":"1817_CR13","unstructured":"Engan K, Naranjo V, Eftesol T, Orn S, Woie L (2013) Automatic segmentation of the epicardium in late gadolinium enhanced cardiac MR images. Paper presented at the computing in cardiology conference"},{"issue":"8","key":"1817_CR14","doi-asserted-by":"publisher","first-page":"765","DOI":"10.1161\/01.cir.97.8.765","volume":"97","author":"KC Wu","year":"1998","unstructured":"Wu KC, Zerhouni EA, Judd RM, Lugo-Olivieri CH, Barouch LA, Schulman SP, Blumenthal RS, Lima JAC (1998) Prognostic significance of microvascular obstruction by magnetic resonance imaging in patients with acute myocardial infarction. Circulation 97(8):765\u2013772. https:\/\/doi.org\/10.1161\/01.cir.97.8.765","journal-title":"Circulation"},{"key":"1817_CR15","doi-asserted-by":"crossref","unstructured":"El-Berbari R, Kachenoura N, Frouin F, Herment A, Mousseaux E, Bloch I (2009) An automated quantification of the transmural myocardial infarct extent using cardiac DE-MR images. In: Conference proceedings of IEEE engineering in medicine and biology society, pp 4403\u20134406","DOI":"10.1109\/IEMBS.2009.5333691"},{"key":"1817_CR16","doi-asserted-by":"crossref","unstructured":"Dikici E, O\u2019Donnell T, Setser R, White RD (2004) Quantification of delayed enhancement MR images. In: Medical image computing and computer-assisted intervention (MICCAI). Springer, pp 250\u2013257","DOI":"10.1007\/978-3-540-30135-6_31"},{"key":"1817_CR17","unstructured":"Xu RS, Athavale P, Lu Y, Radau P, Wright GA (2013) Myocardial segmentation in late-enhancement MR images via registration and propagation of cine contours. In: IEEE 10th international symposium on biomedical imaging (ISBI). IEEE, pp 856\u2013859"},{"key":"1817_CR18","doi-asserted-by":"crossref","unstructured":"Ciofolo C, Fradkin M, Mory B, Hautvast G, Breeuwer M (2008) Automatic myocardium segmentation in late-enhancement MRI. In: 5th IEEE international symposium on biomedical imaging: from nano to macro (ISBI). IEEE, pp 225\u2013228","DOI":"10.1109\/ISBI.2008.4540973"},{"issue":"6","key":"1817_CR19","doi-asserted-by":"publisher","first-page":"685","DOI":"10.1016\/j.media.2013.03.001","volume":"17","author":"D Wei","year":"2013","unstructured":"Wei D, Sun Y, Ong S-H, Chai P, Teo LL, Low AF (2013) Three-dimensional segmentation of the left ventricle in late gadolinium enhanced MR images of chronic infarction combining long-and short-axis information. Med Image Anal 17(6):685\u2013697","journal-title":"Med Image Anal"},{"key":"1817_CR20","doi-asserted-by":"crossref","unstructured":"Kurzendorfer T, Brost A, Forman C, Maier A (2017) Automated left ventricle segmentation in 2-D LGE-MRI. In: IEEE 14th international symposium onbiomedical imaging (ISBI), pp 831\u2013834","DOI":"10.1109\/ISBI.2017.7950646"},{"issue":"11","key":"1817_CR21","doi-asserted-by":"publisher","first-page":"2650","DOI":"10.1109\/TBME.2017.2657656","volume":"64","author":"J Liu","year":"2017","unstructured":"Liu J, Zhuang X, Wu L, An D, Xu J, Peters T, Gu L (2017) Myocardium segmentation from DE MRI using multi-component gaussian mixture model and coupled level set. IEEE Trans Biomed Eng 64(11):2650\u20132661. https:\/\/doi.org\/10.1109\/TBME.2017.2657656","journal-title":"IEEE Trans Biomed Eng"},{"issue":"3","key":"1817_CR22","doi-asserted-by":"publisher","first-page":"1116","DOI":"10.1016\/j.neuroimage.2006.01.015","volume":"31","author":"PA Yushkevich","year":"2006","unstructured":"Yushkevich PA, Piven J, Hazlett HC, Smith RG, Ho S, Gee JC, Gerig G (2006) User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. Neuroimage 31(3):1116\u20131128. https:\/\/doi.org\/10.1016\/j.neuroimage.2006.01.015","journal-title":"Neuroimage"},{"key":"1817_CR23","doi-asserted-by":"crossref","unstructured":"Radau P, Lu Y, Connelly K, Paul G, Dick A, Wright G (2009) Evaluation framework for algorithms segmenting short axis cardiac MRI. MIDAS J 49(6)","DOI":"10.54294\/g80ruo"},{"issue":"9","key":"1817_CR24","doi-asserted-by":"publisher","first-page":"1612","DOI":"10.1109\/TMI.2010.2047112","volume":"29","author":"X Zhuang","year":"2010","unstructured":"Zhuang X, Rhode KS, Razavi RS, Hawkes DJ, Ourselin S (2010) A Registration-Based Propagation Framework for Automatic Whole Heart Segmentation of Cardiac MRI. IEEE Trans Med Imaging 29(9):1612\u20131625. https:\/\/doi.org\/10.1109\/TMI.2010.2047112","journal-title":"IEEE Trans Med Imaging"},{"issue":"10","key":"1817_CR25","doi-asserted-by":"publisher","first-page":"1819","DOI":"10.1109\/Tmi.2011.2150240","volume":"30","author":"XH Zhuang","year":"2011","unstructured":"Zhuang XH, Arridge S, Hawkes DJ, Ourselin S (2011) A nonrigid registration framework using spatially encoded mutual information and free-form deformations. IEEE Trans Med Imaging 30(10):1819\u20131828. https:\/\/doi.org\/10.1109\/Tmi.2011.2150240","journal-title":"IEEE Trans Med Imaging"},{"issue":"1","key":"1817_CR26","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1006\/cviu.1995.1004","volume":"61","author":"TF Cootes","year":"1995","unstructured":"Cootes TF, Taylor CJ, Cooper DH, Graham J (1995) Active shape models-their training and application. Comput Vis Image Underst 61(1):38\u201359","journal-title":"Comput Vis Image Underst"},{"issue":"1","key":"1817_CR27","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1016\/j.media.2011.08.004","volume":"16","author":"S Zhang","year":"2012","unstructured":"Zhang S, Zhan Y, Dewan M, Huang J, Metaxas DN, Zhou XS (2012) Towards robust and effective shape modeling: sparse shape composition. Med Image Anal 16(1):265\u2013277","journal-title":"Med Image Anal"},{"key":"1817_CR28","doi-asserted-by":"crossref","unstructured":"Liu W, Ruan D Segmentation with a shape dictionary. In: IEEE 11th international symposium on biomedical imaging (ISBI), 2014. IEEE, pp 357\u2013360","DOI":"10.1109\/ISBI.2014.6867882"},{"issue":"2","key":"1817_CR29","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1214\/009053604000000067","volume":"32","author":"B Efron","year":"2004","unstructured":"Efron B, Hastie T, Johnstone I, Tibshirani R (2004) Least angle regression. Ann Statist 32(2):407\u2013499. https:\/\/doi.org\/10.1214\/009053604000000067","journal-title":"Ann Statist"},{"issue":"11","key":"1817_CR30","doi-asserted-by":"publisher","first-page":"1768","DOI":"10.1109\/TPAMI.2006.233","volume":"28","author":"L Grady","year":"2006","unstructured":"Grady L (2006) Random walks for image segmentation. IEEE Trans Pattern Anal Mach Intell 28(11):1768\u20131783","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"2","key":"1817_CR31","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1016\/j.media.2012.10.005","volume":"17","author":"A Eslami","year":"2013","unstructured":"Eslami A, Karamalis A, Katouzian A, Navab N (2013) Segmentation by retrieval with guided random walks: application to left ventricle segmentation in MRI. Med Image Anal 17(2):236\u2013253","journal-title":"Med Image Anal"},{"key":"1817_CR32","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/j.media.2016.02.006","volume":"31","author":"XH Zhuang","year":"2016","unstructured":"Zhuang XH, Shen J (2016) Multi-scale patch and multi-modality atlases for whole heart segmentation of MRI. Med Image Anal 31:77\u201387. https:\/\/doi.org\/10.1016\/j.media.2016.02.006","journal-title":"Med Image Anal"},{"key":"1817_CR33","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-75541-0","volume-title":"Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges","year":"2018","unstructured":"Pop M, Sermesant M, Jodoin P-M, Lalande A, Zhang X, Yang G, Young A, Bernanrd O (eds) (2017) Statistical Atlases and computational models of the heart. ACDC and MMWHS challenges, vol 10663. Springer, Berlin. https:\/\/doi.org\/10.1007\/978-3-319-75541-0"}],"container-title":["International Journal of Computer Assisted Radiology and Surgery"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11548-018-1817-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11548-018-1817-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11548-018-1817-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,27]],"date-time":"2022-08-27T02:43:01Z","timestamp":1661568181000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11548-018-1817-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7,7]]},"references-count":33,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2018,10]]}},"alternative-id":["1817"],"URL":"https:\/\/doi.org\/10.1007\/s11548-018-1817-4","relation":{},"ISSN":["1861-6410","1861-6429"],"issn-type":[{"type":"print","value":"1861-6410"},{"type":"electronic","value":"1861-6429"}],"subject":[],"published":{"date-parts":[[2018,7,7]]},"assertion":[{"value":"12 January 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 June 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 July 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with Ethical Standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"For this type of study formal consent is not required. The testing data were collected at our institution with approval from the institutional review board.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}]}}