{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,11]],"date-time":"2025-06-11T18:41:36Z","timestamp":1749667296597,"version":"3.37.3"},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2019,4,11]],"date-time":"2019-04-11T00:00:00Z","timestamp":1554940800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Pattern Anal Applic"],"published-print":{"date-parts":[[2020,5]]},"DOI":"10.1007\/s10044-019-00796-1","type":"journal-article","created":{"date-parts":[[2019,4,11]],"date-time":"2019-04-11T19:04:28Z","timestamp":1555009468000},"page":"581-591","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A novel 3D dual active contours approach"],"prefix":"10.1007","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7670-3752","authenticated-orcid":false,"given":"Mohamed","family":"Hafri","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hechmi","family":"Toumi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eric","family":"Lespessailles","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rachid","family":"Jennane","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,4,11]]},"reference":[{"issue":"4","key":"796_CR1","doi-asserted-by":"publisher","first-page":"248","DOI":"10.1016\/j.compbiomed.2012.12.012","volume":"43","author":"Z Ma","year":"2013","unstructured":"Ma Z, Jorge RMN, Mascarenhas T, Tavares JMRS (2013) Segmentation of female pelvic organs in axial magnetic resonance images using coupled geometric deformable models. Comput Biol Med 43(4):248\u2013258","journal-title":"Comput Biol Med"},{"issue":"4","key":"796_CR2","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1016\/j.bone.2007.07.007","volume":"41","author":"HR Buie","year":"2007","unstructured":"Buie HR, Campbell GM, Klinck RJ, MacNeil JA, Boyd SK (2007) Automatic segmentation of cortical and trabecular compartments based on a dual threshold technique for in vivo micro-CT bone analysis. Bone 41(4):505\u2013515","journal-title":"Bone"},{"issue":"3","key":"796_CR3","doi-asserted-by":"publisher","first-page":"519","DOI":"10.1016\/j.bone.2010.05.034","volume":"47","author":"AJ Burghardt","year":"2010","unstructured":"Burghardt AJ, Buie HR, Laib A, Majumdar S, Boyd SK (2010) Reproducibility of direct quantitative measures of cortical bone microarchitecture of the distal radius and tibia by HR-pQCT. Bone 47(3):519\u2013528","journal-title":"Bone"},{"issue":"3","key":"796_CR4","doi-asserted-by":"publisher","first-page":"480","DOI":"10.1016\/j.bone.2012.06.005","volume":"51","author":"A Valentinitsch","year":"2012","unstructured":"Valentinitsch A, Patsch JM, Deutschmann J, Schueller-Weidekamm C, Resch H, Kainberger F, Langs G (2012) Automated threshold-independent cortex segmentation by 3d-texture analysis of HR-pQCT scans. Bone 51(3):480\u2013487","journal-title":"Bone"},{"issue":"1","key":"796_CR5","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1016\/j.bone.2013.01.007","volume":"54","author":"R Zebaze","year":"2013","unstructured":"Zebaze R, Ghasem-Zadeh A, Mbala A, Seeman E (2013) A new method of segmentation of compact-appearing, transitional and trabecular compartments and quantification of cortical porosity from high resolution peripheral quantitative computed tomographic images. Bone 54(1):8\u201320","journal-title":"Bone"},{"issue":"4","key":"796_CR6","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1007\/BF00133570","volume":"1","author":"M Kass","year":"1988","unstructured":"Kass M, Witkin A, Terzopoulos D (1988) Snakes: active contour models. Int J Comput Vis 1(4):321\u2013331","journal-title":"Int J Comput Vis"},{"key":"796_CR7","unstructured":"Truc PTH, Lee S, Kim T-S (2008) A density distance augmented Chan\u2013Vese active contour for CT bone segmentation. In: Conference proceedings: annual international conference of the IEEE engineering in medicine and biology society. IEEE Engineering in Medicine and Biology Society. vol 2008, pp 482\u20135"},{"issue":"1","key":"796_CR8","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1016\/S1361-8415(02)00065-8","volume":"7","author":"TB Sebastian","year":"2003","unstructured":"Sebastian TB, Tek H, Crisco JJ, Kimia BB (2003) Segmentation of carpal bones from CT images using skeletally coupled deformable models. Med Image Anal 7(1):21\u201345","journal-title":"Med Image Anal"},{"issue":"1","key":"796_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/BF01385685","volume":"66","author":"V Caselles","year":"1993","unstructured":"Caselles V, Catt F, Coll T, Dibos F (1993) A geometric model for active contours in image processing. Numer Math 66(1):1\u201331","journal-title":"Numer Math"},{"issue":"1","key":"796_CR10","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1023\/A:1007979827043","volume":"22","author":"V Caselles","year":"1997","unstructured":"Caselles V, Kimmel R, Sapiro G (1997) Geodesic active contours. Int J Comput Vis 22(1):61\u201379","journal-title":"Int J Comput Vis"},{"issue":"2","key":"796_CR11","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1109\/83.902291","volume":"10","author":"TF Chan","year":"2001","unstructured":"Chan TF, Vese LA (2001) Active contours without edges. IEEE Trans Image Process 10(2):266\u2013277","journal-title":"IEEE Trans Image Process"},{"key":"796_CR12","unstructured":"Chen Z, Qiu T, Ruan S (2008 Oct) Fuzzy adaptive level set algorithm for brain tissue segmentation. In: IEEE 9th international conference on signal processing, Beijing, China"},{"issue":"12","key":"796_CR13","doi-asserted-by":"publisher","first-page":"2747","DOI":"10.1109\/TIP.2009.2030468","volume":"18","author":"S Krinidis","year":"2009","unstructured":"Krinidis S, Chatzis V (2009) Fuzzy energy-based active contours. IEEE Trans Image Process 18(12):2747\u20132755","journal-title":"IEEE Trans Image Process"},{"issue":"2","key":"796_CR14","doi-asserted-by":"publisher","first-page":"1559","DOI":"10.1007\/s11071-011-0088-1","volume":"67","author":"K-K Shyu","year":"2011","unstructured":"Shyu K-K, Pham V-T, Tran T-T, Lee P-L (2011) Global and local fuzzy energy-based active contours for image segmentation. Nonlinear Dyn 67(2):1559\u20131578","journal-title":"Nonlinear Dyn"},{"key":"796_CR15","doi-asserted-by":"crossref","unstructured":"Hafri M, Toumi H, Boutroy S, Chapurlat RD, Lespessailles E, Jennane R (dec 2016) Fuzzy energy based active contours model for HR-PQCT cortical bone segmentation. In: 2016 IEEE international conference on image processing (ICIP), pp 4334\u20134338","DOI":"10.1109\/ICIP.2016.7533178"},{"issue":"11","key":"796_CR16","doi-asserted-by":"publisher","first-page":"2029","DOI":"10.1109\/TIP.2008.2004611","volume":"17","author":"S Lankton","year":"2008","unstructured":"Lankton S, Tannenbaum A (2008) Localizing region-based active contours. IEEE Trans Image Process 17(11):2029\u20132039","journal-title":"IEEE Trans Image Process"},{"key":"796_CR17","unstructured":"Yezzi\u00a0Jr. A, Tsai A, Willsky A (1999) A statistical approach to snakes for bimodal and trimodal imagery. In: Proceedings of the international conference on computer vision-ser. ICCV \u201999, vol 2. IEEE Computer Society, Washington, DC, USA, pp 898"},{"issue":"1","key":"796_CR18","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1006\/jvci.2001.0500","volume":"13","author":"A Yezzi","year":"2002","unstructured":"Yezzi A, Tsai A, Willsky A (2002) A fully global approach to image segmentation via coupled curve evolution equations. J Vis Comun Image Represent 13(1):195\u2013216","journal-title":"J Vis Comun Image Represent"},{"issue":"8","key":"796_CR19","doi-asserted-by":"publisher","first-page":"2287","DOI":"10.1007\/s10439-011-0324-3","volume":"39","author":"Z Ma","year":"2011","unstructured":"Ma Z, Jorge RN, Mascarenhas T, Tavares JMRS (2011) Novel approach to segment the inner and outer boundaries of the bladder wall in T2-weighted magnetic resonance images. Ann Biomed Eng 39(8):2287\u20132297","journal-title":"Ann Biomed Eng"},{"issue":"2","key":"796_CR20","doi-asserted-by":"publisher","first-page":"518","DOI":"10.1109\/TSMCB.2010.2065800","volume":"41","author":"X Gao","year":"2011","unstructured":"Gao X, Wang B, Tao D, Li X (2011) A relay level set method for automatic image segmentation. IEEE Trans Syst Man Cybernet Part B (Cybernetics) 41(2):518\u2013525","journal-title":"IEEE Trans Syst Man Cybernet Part B (Cybernetics)"},{"key":"796_CR21","doi-asserted-by":"crossref","unstructured":"Hafri M, Toumi E, Lespessailles Hechmi, Jennane R (2016 Dec) Dual active contours model for HR-PQCT cortical bone segmentation. In: 2016 International conference on pattern recognition (ICPR)","DOI":"10.1109\/ICIP.2016.7533178"},{"issue":"10","key":"796_CR22","doi-asserted-by":"publisher","first-page":"1940","DOI":"10.1109\/TIP.2008.2002304","volume":"17","author":"C Li","year":"2008","unstructured":"Li C, Kao C-Y, Gore J, Ding Z (2008) Minimization of region-scalable fitting energy for image segmentation. IEEE Trans Image Process 17(10):1940\u20131949","journal-title":"IEEE Trans Image Process"},{"issue":"1","key":"796_CR23","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1006\/jcph.1994.1155","volume":"114","author":"M Sussman","year":"1994","unstructured":"Sussman M, Smereka P, Osher S (1994) A level set approach for computing solutions to incompressible two-phase flow. J Comput Phys 114(1):146\u2013159","journal-title":"J Comput Phys"},{"key":"796_CR24","volume-title":"Textures: a photographic album for artists and designers","author":"P Brodatz","year":"1966","unstructured":"Brodatz P (1966) Textures: a photographic album for artists and designers. Dover Publications, New York"},{"issue":"3","key":"796_CR25","doi-asserted-by":"publisher","first-page":"297","DOI":"10.2307\/1932409","volume":"26","author":"LR Dice","year":"1945","unstructured":"Dice LR (1945) Measures of the amount of ecologic association between species. Ecology 26(3):297","journal-title":"Ecology"},{"key":"796_CR26","doi-asserted-by":"publisher","first-page":"705","DOI":"10.1109\/ICME.2002.1035879","volume":"1","author":"N Aspert","year":"2002","unstructured":"Aspert N, Santa Cruz D, Ebrahimi T (2002) Mesh: measuring errors between surfaces using the hausdorff distance. Int Conf Multimed ExpoICME 1:705\u2013708","journal-title":"Int Conf Multimed ExpoICME"},{"issue":"3","key":"796_CR27","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","journal-title":"NeuroImage"}],"container-title":["Pattern Analysis and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-019-00796-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10044-019-00796-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-019-00796-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,4,24]],"date-time":"2020-04-24T01:05:17Z","timestamp":1587690317000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10044-019-00796-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4,11]]},"references-count":27,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2020,5]]}},"alternative-id":["796"],"URL":"https:\/\/doi.org\/10.1007\/s10044-019-00796-1","relation":{},"ISSN":["1433-7541","1433-755X"],"issn-type":[{"type":"print","value":"1433-7541"},{"type":"electronic","value":"1433-755X"}],"subject":[],"published":{"date-parts":[[2019,4,11]]},"assertion":[{"value":"16 September 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 February 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 April 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}