{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,9]],"date-time":"2026-02-09T13:09:45Z","timestamp":1770642585331,"version":"3.49.0"},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2018,12,5]],"date-time":"2018-12-05T00:00:00Z","timestamp":1543968000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100000781","name":"European Research Council","doi-asserted-by":"publisher","award":["323091"],"award-info":[{"award-number":["323091"]}],"id":[{"id":"10.13039\/501100000781","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Med Biol Eng Comput"],"published-print":{"date-parts":[[2019,5]]},"DOI":"10.1007\/s11517-018-1936-7","type":"journal-article","created":{"date-parts":[[2018,12,5]],"date-time":"2018-12-05T03:59:14Z","timestamp":1543982354000},"page":"1015-1027","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Automated segmentation of trabecular and cortical bone from proton density weighted MRI of the knee"],"prefix":"10.1007","volume":"57","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5887-039X","authenticated-orcid":false,"given":"Hao","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andr\u00e9 M. J.","family":"Sprengers","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Kang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nico","family":"Verdonschot","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,12,5]]},"reference":[{"key":"1936_CR1","doi-asserted-by":"publisher","first-page":"437","DOI":"10.1016\/j.bbe.2015.12.007","volume":"36","author":"A Aprovitola","year":"2016","unstructured":"Aprovitola A, Gallo L (2016) Knee bone segmentation from MRI: a classification and literature review. Biocybern Biomed Eng 36:437\u2013449. \n                    https:\/\/doi.org\/10.1016\/j.bbe.2015.12.007","journal-title":"Biocybern Biomed Eng"},{"key":"1936_CR2","doi-asserted-by":"publisher","first-page":"698","DOI":"10.1109\/TPAMI.1987.4767965","volume":"PAMI-9","author":"KS Arun","year":"1987","unstructured":"Arun KS, Huang TS, Blostein SD (1987) Least-squares fitting of two 3-D point sets. IEEE Trans Pattern Anal Mach Intell PAMI-9:698\u2013700. \n                    https:\/\/doi.org\/10.1109\/TPAMI.1987.4767965","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1936_CR3","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1109\/83.902291","volume":"10","author":"TF Chan","year":"2001","unstructured":"Chan TF, Vese L a (2001) Active contours without edges. IEEE Trans Image Process 10:266\u2013277. \n                    https:\/\/doi.org\/10.1109\/83.902291","journal-title":"IEEE Trans Image Process"},{"key":"1936_CR4","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1109\/34.1000236","volume":"24","author":"D Comaniciu","year":"2002","unstructured":"Comaniciu D, Meer P (2002) Mean shift: a robust approach toward feature space analysis. IEEE Trans Pattern Anal Mach Intell 24:603\u2013619","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1936_CR5","doi-asserted-by":"publisher","first-page":"1413","DOI":"10.1007\/s11517-011-0838-8","volume":"49","author":"P Dodin","year":"2011","unstructured":"Dodin P, Martel-Pelletier J, Pelletier J-P, Abram F (2011) A fully automated human knee 3D MRI bone segmentation using the ray casting technique. Med Biol Eng Comput 49:1413\u20131424. \n                    https:\/\/doi.org\/10.1007\/s11517-011-0838-8","journal-title":"Med Biol Eng Comput"},{"key":"1936_CR6","doi-asserted-by":"publisher","first-page":"1617","DOI":"10.1088\/0031-9155\/52\/6\/005","volume":"52","author":"J Fripp","year":"2007","unstructured":"Fripp J, Crozier S, Warfield SK, Ourselin S (2007) Automatic segmentation of the bone and extraction of the bone\u2013cartilage interface from magnetic resonance images of the knee. Phys Med Biol 52:1617\u20131631. \n                    https:\/\/doi.org\/10.1088\/0031-9155\/52\/6\/005","journal-title":"Phys Med Biol"},{"key":"1936_CR7","doi-asserted-by":"publisher","first-page":"774","DOI":"10.1002\/ar.22688","volume":"296","author":"JH Gosman","year":"2013","unstructured":"Gosman JH, Hubbell ZR, Shaw CN, Ryan TM (2013) Development of cortical bone geometry in the human femoral and tibial diaphysis. Anat Rec 296:774\u2013787. \n                    https:\/\/doi.org\/10.1002\/ar.22688","journal-title":"Anat Rec"},{"key":"1936_CR8","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1109\/ICIG.2011.11","volume":"2011","author":"Y Guo","year":"2011","unstructured":"Guo Y, Jiang J, Hao S, Zhan S (2011) Distribution-based active contour model for medical image segmentation. Sixth Int Conf Image Graph 2011:61\u201365. \n                    https:\/\/doi.org\/10.1109\/ICIG.2011.11","journal-title":"Sixth Int Conf Image Graph"},{"key":"1936_CR9","doi-asserted-by":"publisher","first-page":"543","DOI":"10.1016\/j.media.2009.05.004","volume":"13","author":"T Heimann","year":"2009","unstructured":"Heimann T, Meinzer HP (2009) Statistical shape models for 3D medical image segmentation: a review. Med Image Anal 13:543\u2013563. \n                    https:\/\/doi.org\/10.1016\/j.media.2009.05.004","journal-title":"Med Image Anal"},{"key":"1936_CR10","unstructured":"Heimann T, Morrison B (2010) Segmentation of knee images: a grand challenge. \n                    http:\/\/www.ski10.org\/ski10.pdf"},{"key":"1936_CR11","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1007\/s00256-010-0969-2","volume":"40","author":"S-Y Lee","year":"2011","unstructured":"Lee S-Y, Jee W-H, Kim SK, Kim J-M (2011) Proton density-weighted MR imaging of the knee: fat suppression versus without fat suppression. Skelet Radiol 40:189\u2013195","journal-title":"Skelet Radiol"},{"key":"1936_CR12","doi-asserted-by":"publisher","first-page":"2007","DOI":"10.1109\/TIP.2011.2146190","volume":"20","author":"C Li","year":"2011","unstructured":"Li C, Huang R, Ding Z, Gatenby JC, Metaxas DN, Gore JC (2011) A level set method for image segmentation in the presence of intensity inhomogeneities with application to MRI. IEEE Trans Image Process 20:2007\u20132016. \n                    https:\/\/doi.org\/10.1109\/TIP.2011.2146190","journal-title":"IEEE Trans Image Process"},{"key":"1936_CR13","doi-asserted-by":"publisher","first-page":"3243","DOI":"10.1109\/TIP.2010.2041414","volume":"19","author":"C Li","year":"2010","unstructured":"Li C, Xu C, Gui C, Fox MD (2010) Distance regularized level set evolution and its application to image segmentation. IEEE Trans Image Process 19:3243\u20133254. \n                    https:\/\/doi.org\/10.1109\/TIP.2010.2069690","journal-title":"IEEE Trans Image Process"},{"key":"1936_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2014\/890725","volume":"2014","author":"T Liu","year":"2014","unstructured":"Liu T, Xu H, Jin W, Liu Z, Zhao Y, Tian W (2014) Medical image segmentation based on a hybrid region-based active contour model. Comput Math Methods Med 2014:1\u201310. \n                    https:\/\/doi.org\/10.1155\/2014\/890725","journal-title":"Comput Math Methods Med"},{"key":"1936_CR15","doi-asserted-by":"crossref","unstructured":"Lorigo LM, Faugeras O, Grimson WEL, Keriven R, Kikinis R (1998) Segmentation of bone in clinical knee MRI using texture-based geodesic active contours. Med Image Comput Comput Interv:1195\u20131204","DOI":"10.1007\/BFb0056309"},{"key":"1936_CR16","doi-asserted-by":"publisher","first-page":"1153","DOI":"10.1109\/JBHI.2014.2329493","volume":"19","author":"J Pang","year":"2015","unstructured":"Pang J, Driban JB, McAlindon TE, Tamez-Pe\u00f1a JG, Fripp J, Miller EL (2015) On the use of coupled shape priors for segmentation of magnetic resonance images of the knee. IEEE J Biomed Heal Informatics 19:1153\u20131167. \n                    https:\/\/doi.org\/10.1109\/JBHI.2014.2329493","journal-title":"IEEE J Biomed Heal Informatics"},{"key":"1936_CR17","doi-asserted-by":"publisher","first-page":"1450","DOI":"10.1016\/j.medengphy.2013.03.021","volume":"35","author":"C Rao","year":"2013","unstructured":"Rao C, Fitzpatrick CK, Rullkoetter PJ, Maletsky LP, Kim RH, Laz PJ (2013) A statistical finite element model of the knee accounting for shape and alignment variability. Med Eng Phys 35:1450\u20131456. \n                    https:\/\/doi.org\/10.1016\/j.medengphy.2013.03.021","journal-title":"Med Eng Phys"},{"key":"1936_CR18","doi-asserted-by":"publisher","first-page":"660","DOI":"10.1007\/s00167-013-2670-1","volume":"22","author":"C Scholes","year":"2014","unstructured":"Scholes C, Sahni V, Lustig S, Parker DA, Coolican MRJ (2014) Patient-specific instrumentation for total knee arthroplasty does not match the pre-operative plan as assessed by intra-operative computer-assisted navigation. Knee Surgery, Sport Traumatol Arthrosc 22:660\u2013665","journal-title":"Knee Surgery, Sport Traumatol Arthrosc"},{"key":"1936_CR19","doi-asserted-by":"publisher","first-page":"1233","DOI":"10.1016\/j.media.2014.05.008","volume":"18","author":"L Shan","year":"2014","unstructured":"Shan L, Zach C, Charles C, Niethammer M (2014) Automatic atlas-based three-label cartilage segmentation from MR knee images. Med Image Anal 18:1233\u20131246. \n                    https:\/\/doi.org\/10.1016\/j.media.2014.05.008","journal-title":"Med Image Anal"},{"key":"1936_CR20","doi-asserted-by":"publisher","unstructured":"Teller P, K\u00f6nig H, Weber U, Hertel P (2003) MRI atlas of orthopedics and traumatology of the knee, 1st ed. doi: \n                    https:\/\/doi.org\/10.1007\/978-3-642-55620-3","DOI":"10.1007\/978-3-642-55620-3"},{"key":"1936_CR21","doi-asserted-by":"publisher","first-page":"686","DOI":"10.1259\/bjr\/99570113","volume":"85","author":"O Tokuda","year":"2012","unstructured":"Tokuda O, Harada Y, Shiraishi G, Motomura T, Fukuda K, Kimura M, Matsunaga N (2012) MRI of the anatomical structures of the knee: the proton density-weighted fast spin-echo sequence vs the proton density-weighted fast-recovery fast spin-echo sequence. Br J Radiol 85:686\u2013693. \n                    https:\/\/doi.org\/10.1259\/bjr\/99570113","journal-title":"Br J Radiol"},{"key":"1936_CR22","doi-asserted-by":"publisher","first-page":"224","DOI":"10.1002\/rcs.201","volume":"4","author":"D White","year":"2008","unstructured":"White D, Chelule KL, Seedhom BB (2008) Accuracy of MRI vs CT imaging with particular reference to patient specific templates for total knee replacement surgery. Int J Med Robot Comput Assist Surg 4:224\u2013231","journal-title":"Int J Med Robot Comput Assist Surg"},{"key":"1936_CR23","doi-asserted-by":"publisher","unstructured":"Yousefi H, Fatehi M, Amian M, Zoroofi R a. (2013) A fully automated segmentation of radius bone based on active contour in wrist MRI data set. 2013 20th Iran Conf Biomed Eng 42\u201347. doi: \n                    https:\/\/doi.org\/10.1109\/ICBME.2013.6782190","DOI":"10.1109\/ICBME.2013.6782190"},{"key":"1936_CR24","doi-asserted-by":"publisher","first-page":"1199","DOI":"10.1016\/j.patcog.2009.10.010","volume":"43","author":"K Zhang","year":"2010","unstructured":"Zhang K, Song H, Zhang L (2010) Active contours driven by local image fitting energy. Pattern Recogn 43:1199\u20131206. \n                    https:\/\/doi.org\/10.1016\/j.patcog.2009.10.010","journal-title":"Pattern Recogn"}],"container-title":["Medical & Biological Engineering & Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-018-1936-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11517-018-1936-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-018-1936-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,12,4]],"date-time":"2019-12-04T19:11:29Z","timestamp":1575486689000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11517-018-1936-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12,5]]},"references-count":24,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2019,5]]}},"alternative-id":["1936"],"URL":"https:\/\/doi.org\/10.1007\/s11517-018-1936-7","relation":{},"ISSN":["0140-0118","1741-0444"],"issn-type":[{"value":"0140-0118","type":"print"},{"value":"1741-0444","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,12,5]]},"assertion":[{"value":"23 June 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 July 2018","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 November 2018","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 December 2018","order":4,"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":"All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and\/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}