{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,14]],"date-time":"2025-06-14T04:08:39Z","timestamp":1749874119873,"version":"3.41.0"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319516905"},{"type":"electronic","value":"9783319516912"}],"license":[{"start":{"date-parts":[[2016,12,27]],"date-time":"2016-12-27T00:00:00Z","timestamp":1482796800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-51691-2_15","type":"book-chapter","created":{"date-parts":[[2016,12,26]],"date-time":"2016-12-26T15:23:38Z","timestamp":1482765818000},"page":"169-179","source":"Crossref","is-referenced-by-count":1,"title":["Quantitative Assessment of Heart Function: A Hybrid Mechanism for Left Ventricle Segmentation from Cine MRI Sequences"],"prefix":"10.1007","author":[{"given":"Muhammad","family":"Sohaib","sequence":"first","affiliation":[]},{"given":"Jong-Myon","family":"Kim","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,12,27]]},"reference":[{"key":"15_CR1","unstructured":"W. H. Orgaization. World Health Orgaization of Cardiovascular Diseases (2016). http:\/\/www.who.int\/cardiovascular_diseases\/en\/"},{"issue":"2","key":"15_CR2","doi-asserted-by":"crossref","first-page":"190","DOI":"10.1016\/j.echo.2008.11.005","volume":"22","author":"DD McManus","year":"2009","unstructured":"McManus, D.D., Shah, S.J., Fabi, M.R., Rosen, A., Whooley, M.A., Schiller, N.B.: Prognostic value of left ventricular end-systolic volume index as a predictor of heart failure hospitalization in stable coronary artery disease: data from the heart and soul study. J. Am. Soc. Echocardiogr. 22(2), 190\u2013197 (2009)","journal-title":"J. Am. Soc. Echocardiogr."},{"issue":"1","key":"15_CR3","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.echo.2005.06.009","volume":"19","author":"AE Bosch van den","year":"2006","unstructured":"van den Bosch, A.E., Robbers-Visser, D., Krenning, B.J., Voormolen, M.M., McGhie, J.S., Helbing, W.A., Roos-Hesselink, J.W., Simoons, M.L., Meijboom, F.J.: Real-time transthoracic three-dimensional echocardiographic assessment of left ventricular volume and ejection fraction in congenital heart disease. J. Am. Soc. Echocardiogr. 19(1), 1\u20136 (2006)","journal-title":"J. Am. Soc. Echocardiogr."},{"issue":"1","key":"15_CR4","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1161\/01.CIR.76.1.44","volume":"76","author":"HD White","year":"1987","unstructured":"White, H.D., Norris, R., Brown, M.A., Brandt, P., Whitlock, R., Wild, C.: Left ventricular end-systolic volume as the major determinant of survival after recovery from myocardial infarction. Circulation 76(1), 44\u201351 (1987)","journal-title":"Circulation"},{"issue":"3","key":"15_CR5","doi-asserted-by":"crossref","first-page":"131","DOI":"10.5923\/j.ajbe.20120203.07","volume":"2","author":"MM Hadhoud","year":"2012","unstructured":"Hadhoud, M.M., Eladawy, M.I., Farag, A., Montevecchi, F.M., Morbiducci, U.: Left ventricle segmentation in cardiac MRI images. Am. J. Biomed. Eng. 2(3), 131\u2013135 (2012)","journal-title":"Am. J. Biomed. Eng."},{"key":"15_CR6","doi-asserted-by":"crossref","unstructured":"Bhan, A.: Parametric models for segmentation of Cardiac MRI database with geometrical interpretation. In: 2014 International Conference on Signal Processing and Integrated Networks (SPIN), pp. 711\u2013715 (2014)","DOI":"10.1109\/SPIN.2014.6777047"},{"issue":"8","key":"15_CR7","doi-asserted-by":"crossref","first-page":"991","DOI":"10.1016\/j.acra.2012.03.022","volume":"19","author":"J Caudron","year":"2012","unstructured":"Caudron, J., Fares, J., Lefebvre, V., Vivier, P.-H., Petitjean, C., Dacher, J.-N.: Cardiac MRI assessment of right ventricular function in acquired heart disease: factors of variability. Acad. Radiol. 19(8), 991\u20131002 (2012)","journal-title":"Acad. Radiol."},{"issue":"2","key":"15_CR8","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/j.media.2010.12.004","volume":"15","author":"C Petitjean","year":"2011","unstructured":"Petitjean, C., Dacher, J.-N.: A review of segmentation methods in short axis cardiac MR images. Med. Image Anal. 15(2), 169\u2013184 (2011)","journal-title":"Med. Image Anal."},{"key":"15_CR9","first-page":"33","volume":"1994","author":"R Geest Van der","year":"1994","unstructured":"Van der Geest, R., Jansen, E., Buller, V., Reiber, J.: Automated detection of left ventricular epi-and endocardial contours in short-axis MR images. Comput. Cardiol. 1994, 33\u201336 (1994)","journal-title":"Comput. Cardiol."},{"issue":"2","key":"15_CR10","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1007\/s11263-006-7937-2","volume":"70","author":"T O\u2019Donnell","year":"2006","unstructured":"O\u2019Donnell, T., Funka-Lea, G., Tek, H., Jolly, M.-P., Rasch, M., Setser, R.: Comprehensive cardiovascular image analysis using MR and CT at siemens corporate research. Int. J. Comput. Vis. 70(2), 165\u2013178 (2006)","journal-title":"Int. J. Comput. Vis."},{"issue":"1","key":"15_CR11","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1109\/42.906421","volume":"20","author":"AF Frangi","year":"2001","unstructured":"Frangi, A.F., Niessen, W.J., Viergever, M.A.: Three-dimensional modeling for functional analysis of cardiac images, a review. IEEE Trans. Med. Imaging 20(1), 2\u20135 (2001)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"9","key":"15_CR12","doi-asserted-by":"crossref","first-page":"1151","DOI":"10.1109\/TMI.2002.804426","volume":"21","author":"AF Frangi","year":"2002","unstructured":"Frangi, A.F., Rueckert, D., Schnabel, J.A., Niessen, W.J.: Automatic construction of multiple-object three-dimensional statistical shape models: application to cardiac modeling. IEEE Trans. Med. Imaging 21(9), 1151\u20131166 (2002)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"1","key":"15_CR13","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1146\/annurev.bioeng.2.1.315","volume":"2","author":"DL Pham","year":"2000","unstructured":"Pham, D.L., Xu, C., Prince, J.L.: Current methods in medical image segmentation 1. Ann. Rev. Biomed. Eng. 2(1), 315\u2013337 (2000)","journal-title":"Ann. Rev. Biomed. Eng."},{"key":"15_CR14","unstructured":"Kaggle: Second Annual Data Science Bowl. https:\/\/www.kaggle.com\/c\/second-annual-data-science-bowl"},{"key":"15_CR15","doi-asserted-by":"crossref","unstructured":"Bhan, A., Goyal, A., Ray, V.: Fast fully automatic multiframe segmentation of left ventricle in cardiac MRI images using local adaptive k-means clustering and connected component labeling. In: 2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN), pp. 114\u2013119 (2015)","DOI":"10.1109\/SPIN.2015.7095354"},{"key":"15_CR16","doi-asserted-by":"crossref","unstructured":"Bhan, A., Goyal, A., Dutta, M.K., Riha, K., Omran, Y.: Image-based pixel clustering and connected component labeling in left ventricle segmentation of cardiac MR images. In: 2015 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), pp. 339\u2013342 (2015)","DOI":"10.1109\/ICUMT.2015.7382454"},{"key":"15_CR17","unstructured":"Gupta, P., Malik, V., Gandhi, M.: Implementation of multilevel threshold method for digital images used in medical image processing. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 2(2) (2012)"},{"key":"15_CR18","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1007\/978-3-642-36480-8_49","volume-title":"Bildverarbeitung f\u00fcr die Medizin 2013","author":"M Tian","year":"2013","unstructured":"Tian, M., Yang, Q., Maier, A., Schasiepen, I., Maass, N., Elter, M.: Automatic histogram-based initialization of k-means clustering in CT. In: Meinzer, H.-P., Deserno, T.M., Handels, H., Tolxdorff, T. (eds.) Bildverarbeitung f\u00fcr die Medizin 2013, pp. 277\u2013282. Springer, Heidelberg (2013)"},{"issue":"9","key":"15_CR19","doi-asserted-by":"crossref","first-page":"1189","DOI":"10.1109\/TMI.2008.918330","volume":"27","author":"O Ecabert","year":"2008","unstructured":"Ecabert, O., Peters, J., Schramm, H., Lorenz, C., von Berg, J., Walker, M.J., Vembar, M., Olszewski, M.E., Subramanyan, K., Lavi, G.: Automatic model-based segmentation of the heart in CT images. IEEE Trans. Med. Imaging 27(9), 1189\u20131201 (2008)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"15_CR20","unstructured":"Danilouchkine, M., Behloul, F., Lamb, H., Reiber, J.J., Lelieveldt, B.: Cardiac LV segmentation using a 3D active shape model driven by fuzzy inference: application to cardiac CT and MR. IEEE Trans. Inf. Technol. Biomed. 12(5) (2003)"},{"key":"15_CR21","doi-asserted-by":"crossref","unstructured":"Wang, L., Pei, M., Codella, N.C., Kochar, M., Weinsaft, J.W., Li, J., Prince, M.R., Wang, Y.: Left ventricle: fully automated segmentation based on spatiotemporal continuity and myocardium information in cine cardiac magnetic resonance imaging (LV-FAST). BioMed Res. Int. 2015 (2015)","DOI":"10.1155\/2015\/367583"},{"key":"15_CR22","doi-asserted-by":"crossref","unstructured":"Li, C., Jia, X., Sun, Y.: Improved semi-automated segmentation of cardiac CT and MR images. In: 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp. 25\u201328 (2009)","DOI":"10.1109\/ISBI.2009.5192974"},{"key":"15_CR23","doi-asserted-by":"crossref","unstructured":"Ray, V., Goyal, A.: Image based sub-second fast fully automatic complete cardiac cycle left ventricle segmentation in multi frame cardiac MRI images using pixel clustering and labelling. In: 2015 Eighth International Conference on Contemporary Computing (IC3), pp. 248\u2013252 (2015)","DOI":"10.1109\/IC3.2015.7346687"},{"key":"15_CR24","unstructured":"Urschler, M., Mayer, H., Bolter, R., Leberl, F.: The live wire approach for the segmentation of left ventricle electron-beam CT images. In: 26th Workshop of the Austrian Association for Pattern Recognition [AAPR\/OEAGM], Graz, Austria (2002)"},{"issue":"11","key":"15_CR25","doi-asserted-by":"crossref","first-page":"1668","DOI":"10.1109\/TMI.2008.2004421","volume":"27","author":"Y Zheng","year":"2008","unstructured":"Zheng, Y., Barbu, A., Georgescu, B., Scheuering, M., Comaniciu, D.: Four-chamber heart modeling and automatic segmentation for 3-D cardiac CT volumes using marginal space learning and steerable features. IEEE Trans. Med. Imaging 27(11), 1668\u20131681 (2008)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"1","key":"15_CR26","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.media.2009.10.001","volume":"14","author":"EM Rikxoort van","year":"2010","unstructured":"van Rikxoort, E.M., Isgum, I., Arzhaeva, Y., Staring, M., Klein, S., Viergever, M.A., Pluim, J.P., van Ginneken, B.: Adaptive local multi-atlas segmentation: application to the heart and the caudate nucleus. Med. Image Anal. 14(1), 39\u201349 (2010)","journal-title":"Med. Image Anal."},{"issue":"9","key":"15_CR27","doi-asserted-by":"crossref","first-page":"1612","DOI":"10.1109\/TMI.2010.2047112","volume":"29","author":"X Zhuang","year":"2010","unstructured":"Zhuang, X., Rhode, K.S., Razavi, R.S., Hawkes, D.J., Ourselin, S.: A registration-based propagation framework for automatic whole heart segmentation of cardiac MRI. IEEE Trans. Med. Imaging 29(9), 1612\u20131625 (2010)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"3","key":"15_CR28","doi-asserted-by":"crossref","first-page":"1004","DOI":"10.1148\/radiol.2482072016","volume":"248","author":"NC Codella","year":"2008","unstructured":"Codella, N.C., Weinsaft, J.W., Cham, M.D., Janik, M., Prince, M.R., Wang, Y.: Left ventricle: automated segmentation by using myocardial effusion threshold reduction and intravoxel computation at MR imaging 1. Radiology 248(3), 1004\u20131012 (2008)","journal-title":"Radiology"},{"key":"15_CR29","doi-asserted-by":"crossref","unstructured":"Xu, C., Prince, J.L.: Gradient vector flow: a new external force for snakes, pp. 66\u201371 (1997)","DOI":"10.1016\/S0165-1684(98)00140-6"}],"container-title":["Lecture Notes in Computer Science","Artificial Life and Computational Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-51691-2_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,13]],"date-time":"2025-06-13T22:10:13Z","timestamp":1749852613000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-51691-2_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12,27]]},"ISBN":["9783319516905","9783319516912"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-51691-2_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016,12,27]]}}}