{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T16:43:35Z","timestamp":1765039415959,"version":"3.37.3"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2018,11,29]],"date-time":"2018-11-29T00:00:00Z","timestamp":1543449600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"crossref","award":["2016YFC 1300300"],"award-info":[{"award-number":["2016YFC 1300300"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61771464","61673020"],"award-info":[{"award-number":["61771464","61673020"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Shenzhen Research and Innovation Funding","doi-asserted-by":"publisher","award":["CYJ 20170307165309009","JCYJ 20170413114916687"],"award-info":[{"award-number":["CYJ 20170307165309009","JCYJ 20170413114916687"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Shenzhen Research and Innovation Funding","doi-asserted-by":"publisher","award":["SGLH 20161212104605195"],"award-info":[{"award-number":["SGLH 20161212104605195"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Provincial Natural Science Research Program of the Higher Education Institutions of Anhui Province","award":["KJ2016A016"],"award-info":[{"award-number":["KJ2016A016"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Computing"],"published-print":{"date-parts":[[2019,6]]},"DOI":"10.1007\/s00607-018-0675-9","type":"journal-article","created":{"date-parts":[[2018,11,28]],"date-time":"2018-11-28T21:23:52Z","timestamp":1543440232000},"page":"653-665","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["A novel machine-learning algorithm to estimate the position and size of myocardial infarction for MRI sequence"],"prefix":"10.1007","volume":"101","author":[{"given":"Chenchu","family":"Xu","sequence":"first","affiliation":[]},{"given":"Lin","family":"Xu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3828-0629","authenticated-orcid":false,"given":"Heye","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Yanping","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Xiuquan","family":"Du","sequence":"additional","affiliation":[]},{"given":"Shuo","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,11,29]]},"reference":[{"issue":"2","key":"675_CR1","doi-asserted-by":"publisher","first-page":"481","DOI":"10.1109\/TMI.2013.2287793","volume":"33","author":"M Afshin","year":"2014","unstructured":"Afshin M, Ayed IB, Punithakumar K, Law MW, Islam A, Goela A, Peters TM, Li S (2014) Regional assessment of cardiac left ventricular myocardial function via MRI statistical features. IEEE Trans Med Imaging 33(2):481\u2013494","journal-title":"IEEE Trans Med Imaging"},{"issue":"2","key":"675_CR2","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1109\/42.913176","volume":"20","author":"AA Amini","year":"2001","unstructured":"Amini AA, Chen Y, Elayyadi M, Radeva P (2001) Tag surface reconstruction and tracking of myocardial beads from SPAMM-MRI with parametric B-spline surfaces. IEEE Trans Med imaging 20(2):94\u2013103","journal-title":"IEEE Trans Med imaging"},{"doi-asserted-by":"crossref","unstructured":"Bai W, Peressutti D, Oktay O, Shi W, O\u2019egan DP, King AP, Rueckert D (2015) Learning a global descriptor of cardiac motion from a large cohort of 1000+ normal subjects. In: International conference on functional imaging and modeling of the heart. Springer, Berlin, pp 3\u201311","key":"675_CR3","DOI":"10.1007\/978-3-319-20309-6_1"},{"issue":"1","key":"675_CR4","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1007\/BF01420984","volume":"12","author":"JL Barron","year":"1994","unstructured":"Barron JL, Fleet DJ, Beauchemin SS (1994) Performance of optical flow techniques. Int J Comput Vis 12(1):43\u201377","journal-title":"Int J Comput Vis"},{"issue":"21","key":"675_CR5","doi-asserted-by":"publisher","first-page":"2453","DOI":"10.1161\/CIRCULATIONAHA.106.684357","volume":"116","author":"B Bijnens","year":"2007","unstructured":"Bijnens B, Claus P, Weidemann F, Strotmann J, Sutherland GR (2007) Investigating cardiac function using motion and deformation analysis in the setting of coronary artery disease. Circulation 116(21):2453\u20132464","journal-title":"Circulation"},{"issue":"3","key":"675_CR6","doi-asserted-by":"publisher","first-page":"358","DOI":"10.1016\/j.acra.2004.11.025","volume":"12","author":"JG Bosch","year":"2005","unstructured":"Bosch JG, Nijland F, Mitchell SC, Lelieveldt BP, Kamp O, Reiber JH, Sonka M (2005) Computer-aided diagnosis via model-based shape analysis: automated classification of wall motion abnormalities in echocardiograms1. Acad Radiol 12(3):358\u2013367","journal-title":"Acad Radiol"},{"key":"675_CR7","volume-title":"Thinking in perspective: critical essays in the study of thought processes","author":"A Burton","year":"1978","unstructured":"Burton A, Radford J (1978) Thinking in perspective: critical essays in the study of thought processes, vol 646. Routledge, Abingdon"},{"issue":"3","key":"675_CR8","first-page":"27","volume":"2","author":"CC Chang","year":"2011","unstructured":"Chang CC, Lin CJ (2011) Libsvm: a library for support vector machines. ACM Trans Intell Syst Technol (TIST) 2(3):27","journal-title":"ACM Trans Intell Syst Technol (TIST)"},{"doi-asserted-by":"crossref","unstructured":"Charles R (2000) Applying computational mechanics analysis to biological systems. In: 18th applied aerodynamics conference, p 4338","key":"675_CR9","DOI":"10.2514\/6.2000-4338"},{"key":"675_CR10","first-page":"297","volume":"9","author":"A Ch\u00e9hikian","year":"1992","unstructured":"Ch\u00e9hikian A (1992) Optimal algorithms for low-pass and laplacian image pyramids computation. Traitement du Signal 9:297\u2013297","journal-title":"Traitement du Signal"},{"issue":"11","key":"675_CR11","doi-asserted-by":"publisher","first-page":"527","DOI":"10.1002\/clc.4960091102","volume":"9","author":"H Eichstaedt","year":"1986","unstructured":"Eichstaedt H, Felix R, Dougherty F, Langer M, Rutsch W, Schmutzler H (1986) Magnetic resonance imaging (MRI) in different stages of myocardial infarction using the contrast agent gadolinium-dtpa. Clin Cardiol 9(11):527\u2013535","journal-title":"Clin Cardiol"},{"issue":"9","key":"675_CR12","doi-asserted-by":"publisher","first-page":"1005","DOI":"10.1109\/TMI.2002.804442","volume":"21","author":"A Frangl","year":"2002","unstructured":"Frangl A, Rueckert D, Duncan JS (2002) Three-dimensional cardiovascular image analysis. IEEE Trans Med Imaging 21(9):1005\u20131010","journal-title":"IEEE Trans Med Imaging"},{"issue":"3","key":"675_CR13","doi-asserted-by":"publisher","first-page":"733","DOI":"10.1109\/TMI.2009.2034653","volume":"29","author":"J Garcia-Barnes","year":"2010","unstructured":"Garcia-Barnes J, Gil D, Badiella L, Hernandez-Sabate A, Carreras F, Pujades S, Marti E (2010) A normalized framework for the design of feature spaces assessing the left ventricular function. IEEE Trans Med Imaging 29(3):733\u2013745","journal-title":"IEEE Trans Med Imaging"},{"issue":"1","key":"675_CR14","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1016\/j.jacc.2005.10.012","volume":"47","author":"R Hoffmann","year":"2006","unstructured":"Hoffmann R, von Bardeleben S, Kasprzak JD, Borges AC, ten Cate F, Firschke C, Lafitte S, Al-Saadi N, Kuntz-Hehner S, Horstick G et al (2006) Analysis of regional left ventricular function by cineventriculography, cardiac magnetic resonance imaging, and unenhanced and contrast-enhanced echocardiography: a multicenter comparison of methods. J Am Coll Cardiol 47(1):121\u2013128","journal-title":"J Am Coll Cardiol"},{"issue":"1\u20133","key":"675_CR15","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1016\/0004-3702(81)90024-2","volume":"17","author":"BK Horn","year":"1981","unstructured":"Horn BK, Schunck BG (1981) Determining optical flow. Artif Intell 17(1\u20133):185\u2013203","journal-title":"Artif Intell"},{"key":"675_CR16","doi-asserted-by":"publisher","first-page":"1396","DOI":"10.1111\/j.1464-410X.2007.07404.x","volume":"101","author":"C-W Hsu","year":"2008","unstructured":"Hsu C-W, Chang C-C, Lin C-J (2008) A practical guide to support vector classification. BJU Int 101:1396\u20131400","journal-title":"BJU Int"},{"doi-asserted-by":"crossref","unstructured":"Jolly MP (2008) Automatic recovery of the left ventricular blood pool in cardiac cine MR images. In: International conference on medical image computing and computer-assisted intervention. Springer, Berlin, pp 110\u2013118","key":"675_CR17","DOI":"10.1007\/978-3-540-85988-8_14"},{"issue":"2","key":"675_CR18","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1161\/hc0202.102123","volume":"105","author":"C Klein","year":"2002","unstructured":"Klein C, Nekolla SG, Bengel FM, Momose M, Sammer A, Haas F, Schnackenburg B, Delius W, Mudra H, Wolfram D et al (2002) Assessment of myocardial viability with contrast-enhanced magnetic resonance imaging: comparison with positron emission tomography. Circulation 105(2):162\u2013167","journal-title":"Circulation"},{"unstructured":"Lei C, Yang YH (2009) Optical flow estimation on coarse-to-fine region-trees using discrete optimization. In: 2009 IEEE 12th international conference on computer vision. IEEE, pp 1562\u20131569","key":"675_CR19"},{"unstructured":"Leung KE, Bosch JG (2007) Localized shape variations for classifying wall motion in echocardiograms. In: International conference on medical image computing and computer-assisted intervention. Springer, Berlin, pp 52\u201359","key":"675_CR20"},{"issue":"5","key":"675_CR21","doi-asserted-by":"publisher","first-page":"1061","DOI":"10.1007\/s003300101131","volume":"12","author":"MJ Lipton","year":"2002","unstructured":"Lipton MJ, Bogaert J, Boxt LM, Reba RC (2002) Imaging of ischemic heart disease. Eur Radiol 12(5):1061\u20131080","journal-title":"Eur Radiol"},{"doi-asserted-by":"crossref","unstructured":"Mansor S, Noble JA (2008) Local wall motion classification of stress echocardiography using a hidden markov model approach. In: 5th IEEE international symposium on biomedical imaging: from nano to macro, 2008. ISBI 2008. IEEE, pp 1295\u20131298","key":"675_CR22","DOI":"10.1109\/ISBI.2008.4541241"},{"issue":"8","key":"675_CR23","doi-asserted-by":"publisher","first-page":"1392","DOI":"10.1016\/S0735-1097(02)01777-1","volume":"39","author":"J \u00f6rg Barkhausen","year":"2002","unstructured":"\u00f6rg Barkhausen J, Ebert W, Weinmann HJ et al (2002) Imaging of myocardial infarction: comparison of magnevist and gadophrin-3 in rabbits. J Am Coll Cardiol 39(8):1392\u20131398","journal-title":"J Am Coll Cardiol"},{"issue":"1","key":"675_CR24","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1109\/TSMC.1979.4310076","volume":"9","author":"N Otsu","year":"1979","unstructured":"Otsu N (1979) A threshold selection method from gray-level histograms. IEEE Trans Syst Man Cybernet 9(1):62\u201366","journal-title":"IEEE Trans Syst Man Cybernet"},{"issue":"2","key":"675_CR25","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1016\/j.media.2010.12.004","volume":"15","author":"C Petitjean","year":"2011","unstructured":"Petitjean C, Dacher JN (2011) A review of segmentation methods in short axis cardiac MR images. Med Image Anal 15(2):169\u2013184","journal-title":"Med Image Anal"},{"issue":"12","key":"675_CR26","doi-asserted-by":"publisher","first-page":"2017","DOI":"10.1109\/TMI.2011.2156805","volume":"30","author":"Z Qian","year":"2011","unstructured":"Qian Z, Liu Q, Metaxas DN, Axel L (2011) Identifying regional cardiac abnormalities from myocardial strains using nontracking-based strain estimation and spatio-temporal tensor analysis. IEEE Trans Med Imaging 30(12):2017\u20132029","journal-title":"IEEE Trans Med Imaging"},{"issue":"4","key":"675_CR27","doi-asserted-by":"publisher","first-page":"445","DOI":"10.1016\/S1361-8415(03)00066-5","volume":"7","author":"P Shi","year":"2003","unstructured":"Shi P, Liu H (2003) Stochastic finite element framework for simultaneous estimation of cardiac kinematic functions and material parameters. Med Image Anal 7(4):445\u2013464","journal-title":"Med Image Anal"},{"issue":"2","key":"675_CR28","doi-asserted-by":"publisher","first-page":"503","DOI":"10.1109\/JBHI.2017.2652449","volume":"22","author":"A Suinesiaputra","year":"2018","unstructured":"Suinesiaputra A, Ablin P, Alba X et al (2018) Statistical shape modeling of the left ventricle: myocardial infarct classification challenge. IEEE J Biomed Health Inform 22(2):503\u2013515","journal-title":"IEEE J Biomed Health Inform"},{"issue":"4","key":"675_CR29","doi-asserted-by":"publisher","first-page":"595","DOI":"10.1109\/TMI.2008.2008966","volume":"28","author":"A Suinesiaputra","year":"2009","unstructured":"Suinesiaputra A, Frangi AF, Kaandorp TA, Lamb HJ, Bax JJ, Reiber JH, Lelieveldt BP (2009) Automated detection of regional wall motion abnormalities based on a statistical model applied to multislice short-axis cardiac MR images. IEEE Trans Med Imaging 28(4):595\u2013607","journal-title":"IEEE Trans Med Imaging"},{"issue":"5","key":"675_CR30","first-page":"360","volume":"37","author":"AJ Viera","year":"2005","unstructured":"Viera AJ, Garrett JM et al (2005) Understanding interobserver agreement: the kappa statistic. Fam Med 37(5):360\u2013363","journal-title":"Fam Med"},{"issue":"2","key":"675_CR31","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1109\/TMI.2011.2171706","volume":"31","author":"H Wang","year":"2012","unstructured":"Wang H, Amini AA (2012) Cardiac motion and deformation recovery from MRI: a review. IEEE Trans Med Imaging 31(2):487\u2013503","journal-title":"IEEE Trans Med Imaging"},{"issue":"5","key":"675_CR32","doi-asserted-by":"publisher","first-page":"859","DOI":"10.1109\/TITB.2012.2204893","volume":"16","author":"M Xavier","year":"2012","unstructured":"Xavier M, Lalande A, Walker PM, Brunotte F, Legrand L (2012) An adapted optical flow algorithm for robust quantification of cardiac wall motion from standard cine-MR examinations. IEEE Trans Inf Technol Biomed 16(5):859\u2013868","journal-title":"IEEE Trans Inf Technol Biomed"}],"container-title":["Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00607-018-0675-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00607-018-0675-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00607-018-0675-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,11,28]],"date-time":"2019-11-28T19:18:08Z","timestamp":1574968688000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00607-018-0675-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11,29]]},"references-count":32,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2019,6]]}},"alternative-id":["675"],"URL":"https:\/\/doi.org\/10.1007\/s00607-018-0675-9","relation":{},"ISSN":["0010-485X","1436-5057"],"issn-type":[{"type":"print","value":"0010-485X"},{"type":"electronic","value":"1436-5057"}],"subject":[],"published":{"date-parts":[[2018,11,29]]},"assertion":[{"value":"27 September 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 November 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 November 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}