{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T12:05:59Z","timestamp":1781265959047,"version":"3.54.1"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2017,11,10]],"date-time":"2017-11-10T00:00:00Z","timestamp":1510272000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100003176","name":"Ministerio de Educaci\u00f3n, Cultura y Deporte","doi-asserted-by":"publisher","award":["DPI2013-45742-R"],"award-info":[{"award-number":["DPI2013-45742-R"]}],"id":[{"id":"10.13039\/501100003176","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Pattern Anal Applic"],"published-print":{"date-parts":[[2018,11]]},"DOI":"10.1007\/s10044-017-0666-z","type":"journal-article","created":{"date-parts":[[2017,11,10]],"date-time":"2017-11-10T11:19:27Z","timestamp":1510312767000},"page":"1083-1095","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":48,"title":["A method for liver segmentation in perfusion MR images using probabilistic atlases and viscous reconstruction"],"prefix":"10.1007","volume":"21","author":[{"given":"Esther","family":"Dura","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4728-6256","authenticated-orcid":false,"given":"Juan","family":"Domingo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Evgin","family":"G\u00f6\u00e7eri","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luis","family":"Mart\u00ed-Bonmat\u00ed","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2017,11,10]]},"reference":[{"key":"666_CR1","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1023\/A:1008214317492","volume":"8","author":"A Baddeley","year":"1998","unstructured":"Baddeley A, Molchanov I (1998) Averaging of random sets based on their distance functions. J Math Imaging Vis 8:79\u201392","journal-title":"J Math Imaging Vis"},{"key":"666_CR2","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1007\/978-3-319-46976-8_9","volume-title":"Deep learning and data labeling for medical applications: first international workshop, LABELS 2016, and second international workshop, DLMIA 2016, held in conjunction with MICCAI 2016 (Athens, Greece. October 2016)","author":"A Ben-Cohen","year":"2016","unstructured":"Ben-Cohen A, Diamant I, Klang E, Amitai M, Greenspan H (2016) Fully convolutional network for liver segmentation and lesions detection. In: Carneiro G et al (eds) Deep learning and data labeling for medical applications: first international workshop, LABELS 2016, and second international workshop, DLMIA 2016, held in conjunction with MICCAI 2016 (Athens, Greece. October 2016). Springer, New York, pp 77\u201385. https:\/\/doi.org\/10.1007\/978-3-319-46976-8_9"},{"issue":"3","key":"666_CR3","doi-asserted-by":"publisher","first-page":"e158","DOI":"10.1016\/j.cmpb.2011.07.015","volume":"104","author":"M Cabezas","year":"2011","unstructured":"Cabezas M, Oliver A, Llad X, Freixenet J, Cuadra MB (2011) A review of atlas-based segmentation for magnetic resonance brain images. Comput Methods Programs Biomed 104(3):e158\u2013e177. https:\/\/doi.org\/10.1016\/j.cmpb.2011.07.015","journal-title":"Comput Methods Programs Biomed"},{"issue":"6","key":"666_CR4","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1109\/TPAMI.1986.4767851","volume":"8","author":"J Canny","year":"1986","unstructured":"Canny J (1986) A computational approach to edge detection. IEEE Trans Pattern Anal Mach Intell PAMI 8(6):679\u2013698","journal-title":"IEEE Trans Pattern Anal Mach Intell PAMI"},{"key":"666_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TBME.2016.2631139","volume":"99","author":"G Chartrand","year":"2017","unstructured":"Chartrand G, Cresson T, Chav R, Gotra A, Tang A, de Guise JA (2017) Liver segmentation on CT and MR using laplacian mesh optimization. IEEE Trans Biomed Eng 99:1. https:\/\/doi.org\/10.1109\/TBME.2016.2631139","journal-title":"IEEE Trans Biomed Eng"},{"issue":"1","key":"666_CR6","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1109\/TITB.2008.2007110","volume":"13","author":"G Chen","year":"2009","unstructured":"Chen G, Gu L, Qian L, Xu J (2009) An improved level set for liver segmentation and perfusion analysis in MRIs. IEEE Trans Inf Technol Biomed 13(1):94\u2013103. https:\/\/doi.org\/10.1109\/TITB.2008.2007110","journal-title":"IEEE Trans Inf Technol Biomed"},{"key":"666_CR7","unstructured":"Christ PF, Ettlinger F, Gr\u00fcn F, et\u00a0al (2017) Automatic liver and tumor segmentation of CT and MRI volumes using cascaded fully convolutional neural networks. Comput Res Repos CoRR abs\/1702.05970. http:\/\/arxiv.org\/abs\/1702.05970"},{"key":"666_CR8","doi-asserted-by":"publisher","unstructured":"Dima T, Domingo J, Dura E (2011) A local level set method for liver segmentation in functional MR imaging. In: Nuclear science symposium and medical imaging conference (NSS\/MIC 2011). IEEE, pp 3158\u20133161. https:\/\/doi.org\/10.1109\/NSSMIC.2011.6152575","DOI":"10.1109\/NSSMIC.2011.6152575"},{"key":"666_CR9","doi-asserted-by":"publisher","unstructured":"Dongxiang C, Tiankun L (2009) Iterative quadtree decomposition segmentation of liver MR image. In: AICI \u201909. international conference on artificial intelligence and computational intelligence, vol\u00a03, pp 527\u2013529. https:\/\/doi.org\/10.1109\/AICI.2009.152","DOI":"10.1109\/AICI.2009.152"},{"key":"666_CR10","doi-asserted-by":"publisher","unstructured":"Esfandiarkhani M, Foruzan AH (2017) A generalized active shape model for segmentation of liver in low-contrast CT volumes. Comput Biol Med 82:59\u201370. https:\/\/doi.org\/10.1016\/j.compbiomed.2017.01.009 , http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0010482517300100","DOI":"10.1016\/j.compbiomed.2017.01.009"},{"key":"666_CR11","doi-asserted-by":"publisher","unstructured":"G\u00f6\u00e7eri E (2016) Fully automated liver segmentation using Sobolev gradient-based level set evolution. Int J Numer Methods Biomed Eng 32(11):e0,2765\u2013n\/a. https:\/\/doi.org\/10.1002\/cnm.2765,e02765 CNM-Jun-15-0095.R1","DOI":"10.1002\/cnm.2765,e02765%20CNM-Jun-15-0095.R1"},{"key":"666_CR12","doi-asserted-by":"publisher","unstructured":"G\u00f6\u00e7eri E, Unlu MZ, Guzelis C, Dicle O (2012) An automatic level set based liver segmentation from MRI data sets. In: 2012 3rd international conference on image processing theory, tools and applications (IPTA), pp 192\u2013197. https:\/\/doi.org\/10.1109\/IPTA.2012.6469551","DOI":"10.1109\/IPTA.2012.6469551"},{"key":"666_CR13","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1016\/j.compbiomed.2014.08.009","volume":"53","author":"E G\u00f6\u00e7eri","year":"2014","unstructured":"G\u00f6\u00e7eri E, G\u00f6rcan MN, Dicle O (2014) Fully automated liver segmentation from SPIR image series. Comput Biol Med 53:265\u2013278","journal-title":"Comput Biol Med"},{"key":"666_CR14","doi-asserted-by":"publisher","unstructured":"G\u00f6\u00e7eri E, Unlu M, Dicle O (2015) A comparative performance evaluation of various approaches for liver segmentation from SPIR images. Turk J Electr Eng Comput Sci. https:\/\/doi.org\/10.3906\/elk-1304-36","DOI":"10.3906\/elk-1304-36"},{"key":"666_CR15","doi-asserted-by":"crossref","unstructured":"Hanbury A, Kammerer P, Zolda E (2003) Painting crack elimination using viscous morphological reconstruction. In: Proceedings of 12th international conference on image analysis and processing, pp 226\u2013231","DOI":"10.1109\/ICIAP.2003.1234054"},{"issue":"8","key":"666_CR16","doi-asserted-by":"publisher","first-page":"3127","DOI":"10.1118\/1.2746498","volume":"34","author":"M Hardisty","year":"2007","unstructured":"Hardisty M, Gordon L, Agarwal P, Skrinskas T, Whyne C (2007) Quantitative characterization of metastatic disease in the spine. Part I: semiautomated segmentation using atlas-based deformable registration and the level set method. Med Phys 34(8):3127\u20133134. https:\/\/doi.org\/10.1118\/1.2746498","journal-title":"Med Phys"},{"issue":"8","key":"666_CR17","doi-asserted-by":"publisher","first-page":"1251","DOI":"10.1109\/TMI.2009.2013851","volume":"28","author":"T Heimann","year":"2009","unstructured":"Heimann T, van Ginneken B, Styner MA, Arzhaeva Y, Aurich V, Bauer C, Beck A, Becker C, Beichel R, Bekes G, Bello F, Binnig G, Bischof H, Bornik A, Cashman PMM, Chi Y, Cordova A, Dawant BM, Fidrich M, Furst JD, Furukawa D, Grenacher L, Hornegger J, Kainmller D, Kitney RI, Kobatake H, Lamecker H, Lange T, Lee J, Lennon B, Li R, Li S, Meinzer HP, Nemeth G, Raicu DS, Rau AM, van Rikxoort EM, Rousson M, Rusko L, Saddi KA, Schmidt G, Seghers D, Shimizu A, Slagmolen P, Sorantin E, Soza G, Susomboon R, Waite JM, Wimmer A, Wolf I (2009) Comparison and evaluation of methods for liver segmentation from CT datasets. IEEE Trans Med Imaging 28(8):1251\u20131265. https:\/\/doi.org\/10.1109\/TMI.2009.2013851","journal-title":"IEEE Trans Med Imaging"},{"key":"666_CR18","doi-asserted-by":"publisher","unstructured":"Isgum I (2009) Multi-atlas-based segmentation with local decision fusion\u2014application to cardiac and aortic segmentation in CT scans. IEEE Trans Med Imaging. https:\/\/doi.org\/10.1109\/TMI.2008.2011480","DOI":"10.1109\/TMI.2008.2011480"},{"issue":"3","key":"666_CR19","doi-asserted-by":"publisher","first-page":"690","DOI":"10.1109\/JBHI.2013.2242480","volume":"17","author":"H Ji","year":"2013","unstructured":"Ji H, He J, Yang X, Deklerck R, Cornelis J (2013) ACM-based automatic liver segmentation from 3D CT images by combining multiple atlases and improved mean-shift techniques. IEEE J Biomed Health Inf 17(3):690\u2013698. https:\/\/doi.org\/10.1109\/JBHI.2013.2242480","journal-title":"IEEE J Biomed Health Inf"},{"key":"666_CR20","doi-asserted-by":"publisher","unstructured":"Klein A, Andersson J, Ardekani BA, Ashburner J, Avants B, Chiang MC, Christensen GE, Collins DL, Gee J, Hellier P, Song JH, Jenkinson M, Lepage C, Rueckert D, Thompson P, Vercauteren T, Woods RP, Mann JJ, Parsey RV (2009) Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration. NeuroImage 46(3):786\u2013802. https:\/\/doi.org\/10.1016\/j.neuroimage.2008.12.037 , http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1053811908012974","DOI":"10.1016\/j.neuroimage.2008.12.037"},{"issue":"1","key":"666_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1687-5281-2014-52","volume":"2014","author":"J Larrey-Ruiz","year":"2014","unstructured":"Larrey-Ruiz J, Morales-S\u00e1nchez J, Bastida-Jumilla MC, Mench\u00f3n-Lara RM, Verd\u00fa-Monedero R (2014) Automatic image-based segmentation of the heart from CT scans. EURASIP J Image Video Process 2014(1):1\u201313. https:\/\/doi.org\/10.1186\/1687-5281-2014-52","journal-title":"EURASIP J Image Video Process"},{"issue":"12","key":"666_CR22","doi-asserted-by":"publisher","first-page":"5315","DOI":"10.1109\/TIP.2015.2481326","volume":"24","author":"G Li","year":"2015","unstructured":"Li G, Chen X, Shi F, Zhu W, Tian J, Xiang D (2015) Automatic liver segmentation based on shape constraints and deformable graph cut in CT images. IEEE Trans Image Process 24(12):5315\u20135329. https:\/\/doi.org\/10.1109\/TIP.2015.2481326","journal-title":"IEEE Trans Image Process"},{"key":"666_CR23","doi-asserted-by":"publisher","unstructured":"Liao M, Zhao YQ, Liu XY, Zeng YZ, Zou BJ, Wang XF, Shih FY (2017) Automatic liver segmentation from abdominal CT volumes using graph cuts and border marching. Comput Methods Programs Biomed 143:1\u201312. https:\/\/doi.org\/10.1016\/j.cmpb.2017.02.015 , http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0169260716304059","DOI":"10.1016\/j.cmpb.2017.02.015"},{"issue":"2","key":"666_CR24","doi-asserted-by":"crossref","first-page":"771","DOI":"10.1118\/1.3284530","volume":"37","author":"MG Linguraru","year":"2010","unstructured":"Linguraru MG, Sandberg JK, Li Z, Shah F, Summers RM (2010) Automated segmentation and quantification of liver and spleen from CT images using normalized probabilistic atlases and enhancement estimation. Med Phys 37(2):771\u2013783","journal-title":"Med Phys"},{"key":"666_CR25","unstructured":"Loader C (2013) locfit: local regression, likelihood and density estimation, no 5\u20139, vol 1. R package version, p 1. https:\/\/cran.r-project.org\/package=locfit"},{"issue":"2","key":"666_CR26","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1007\/s11548-016-1467-3","volume":"12","author":"F Lu","year":"2017","unstructured":"Lu F, Wu F, Hu P, Peng Z, Kong D (2017) Automatic 3D liver location and segmentation via convolutional neural network and graph cut. Int J Comput Assist Radiol Surg 12(2):171\u2013182. https:\/\/doi.org\/10.1007\/s11548-016-1467-3","journal-title":"Int J Comput Assist Radiol Surg"},{"issue":"5","key":"666_CR27","doi-asserted-by":"publisher","first-page":"429","DOI":"10.1016\/j.bspc.2012.01.002","volume":"7","author":"H Masoumi","year":"2012","unstructured":"Masoumi H, Behrad A, Pourmina MA, Roosta A (2012) Automatic liver segmentation in MRI images using an iterative watershed algorithm and artificial neural network. Biomed Signal Process Control 7(5):429\u2013437. https:\/\/doi.org\/10.1016\/j.bspc.2012.01.002","journal-title":"Biomed Signal Process Control"},{"issue":"2","key":"666_CR28","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1007\/s10462-011-9220-3","volume":"37","author":"A Mharib","year":"2012","unstructured":"Mharib A, Ramli AR, Mashohor S, Mahmood RB (2012) Survey on liver CT image segmentation methods. Artif Intell Rev 37(2):83\u201395. https:\/\/doi.org\/10.1007\/s10462-011-9220-3","journal-title":"Artif Intell Rev"},{"issue":"9","key":"666_CR29","doi-asserted-by":"publisher","first-page":"2225","DOI":"10.1109\/TBME.2009.2019765","volume":"56","author":"SK Michopoulou","year":"2009","unstructured":"Michopoulou SK, Costaridou L, Panagiotopoulos E, Speller R, Panayiotakis G, Todd-Pokropek A (2009) Atlas-based segmentation of degenerated lumbar intervertebral discs from MR images of the spine. IEEE Trans Biomed Eng 56(9):2225\u20132231. https:\/\/doi.org\/10.1109\/TBME.2009.2019765","journal-title":"IEEE Trans Biomed Eng"},{"key":"666_CR30","doi-asserted-by":"publisher","unstructured":"Mostafa A, Hassanien AE, Houseni M, Hefny H (2017) Liver segmentation in MRI images based on whale optimization algorithm. Multimed Tools Appl. https:\/\/doi.org\/10.1007\/s11042-017-4638-5","DOI":"10.1007\/s11042-017-4638-5"},{"issue":"4","key":"666_CR31","doi-asserted-by":"publisher","first-page":"483","DOI":"10.1109\/TMI.2003.809139","volume":"22","author":"H Park","year":"2003","unstructured":"Park H, Bland PH, Meyer CR (2003) Construction of an abdominal probabilistic atlas and its application in segmentation. IEEE Trans Med Imaging 22(4):483\u2013492. https:\/\/doi.org\/10.1109\/TMI.2003.809139","journal-title":"IEEE Trans Med Imaging"},{"issue":"8","key":"666_CR32","doi-asserted-by":"crossref","first-page":"2291","DOI":"10.1587\/transinf.E93.D.2291","volume":"E93\u2013D","author":"H Park","year":"2010","unstructured":"Park H, Hero A, Bland P, Kessler M, Seo J, Meyer C (2010) Construction of abdominal probabilistic atlases and their value in segmentation of normal organs in abdominal CT scans. IEICE Trans Inf Syst E93\u2013D(8):2291\u20132301","journal-title":"IEICE Trans Inf Syst"},{"key":"666_CR33","doi-asserted-by":"publisher","unstructured":"Peng J, Wang Y, Kong D (2014) Liver segmentation with constrained convex variational model. Pattern Recognit Lett 43:81\u201388. https:\/\/doi.org\/10.1016\/j.patrec.2013.07.010 , http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0167865513002766 , iCPR2012 Awarded Papers","DOI":"10.1016\/j.patrec.2013.07.010"},{"issue":"7","key":"666_CR34","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1109\/34.56205","volume":"12","author":"P Perona","year":"1990","unstructured":"Perona P, Malik J (1990) Scale-space and edge detection using anisotropic diffusion. IEEE Trans Pattern Anal Mach Intell 12(7):629\u2013639","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"5","key":"666_CR35","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1016\/j.media.2007.06.003","volume":"11","author":"KM Pohl","year":"2007","unstructured":"Pohl KM, Fisher J, Bouix S, Shenton M, McCarley RW, Grimson WEL, Kikinis R, Wells WM (2007) Using the logarithm of odds to define a vector space on probabilistic atlases. Med Image Anal 11(5):465\u2013477. https:\/\/doi.org\/10.1016\/j.media.2007.06.003 special Issue on the Ninth International Conference on Medical Image Computing and Computer-Assisted Interventions - {MICCAI} 2006","journal-title":"Med Image Anal"},{"key":"666_CR36","volume-title":"Fractals, random shapes and point fields. Methods of geometrical statistics","author":"D Stoyan","year":"1994","unstructured":"Stoyan D, Stoyan H (1994) Fractals, random shapes and point fields. Methods of geometrical statistics. Wiley, Chichester"},{"key":"666_CR37","doi-asserted-by":"publisher","unstructured":"Sun C, Guoa S, Zhangb H, Lib J, Chanc M, Maa S, Jina L, Liua X, Lia X, Qian X (2017) Automatic segmentation of liver tumors from multiphase contrast-enhanced CT images based on FCNs. Artif Intell Med (to appear). https:\/\/doi.org\/10.1016\/j.artmed.2017.03.008 , http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0933365716305930","DOI":"10.1016\/j.artmed.2017.03.008"},{"issue":"1","key":"666_CR38","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1186\/s12938-016-0296-5","volume":"16","author":"Y Zheng","year":"2017","unstructured":"Zheng Y, Ai D, Mu J, Cong W, Wang X, Zhao H, Yang J (2017) Automatic liver segmentation based on appearance and context information. BioMed Eng OnLine 16(1):16. https:\/\/doi.org\/10.1186\/s12938-016-0296-5","journal-title":"BioMed Eng OnLine"},{"key":"666_CR39","doi-asserted-by":"publisher","first-page":"1169","DOI":"10.1016\/j.ics.2005.03.079","volume":"1281","author":"X Zhou","year":"2005","unstructured":"Zhou X, Kitagawa T, Okuo K, Hara T, Fujita H, Yokoyama R, Kanematsu M, Hoshi H (2005) Construction of a probabilistic atlas for automated liver segmentation in non-contrast torso CT images. Int Congr Ser 1281:1169\u20131174. https:\/\/doi.org\/10.1016\/j.ics.2005.03.079","journal-title":"Int Congr Ser"}],"container-title":["Pattern Analysis and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10044-017-0666-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-017-0666-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-017-0666-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,5]],"date-time":"2019-10-05T20:38:49Z","timestamp":1570307929000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10044-017-0666-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,11,10]]},"references-count":39,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2018,11]]}},"alternative-id":["666"],"URL":"https:\/\/doi.org\/10.1007\/s10044-017-0666-z","relation":{},"ISSN":["1433-7541","1433-755X"],"issn-type":[{"value":"1433-7541","type":"print"},{"value":"1433-755X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,11,10]]}}}