{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T15:40:47Z","timestamp":1787240447148,"version":"build-2736575974"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"1","funder":[{"name":"National Natural Science Foundation of China (CN)","award":["11304382"],"award-info":[{"award-number":["11304382"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China (CN)","doi-asserted-by":"publisher","award":["61108086"],"award-info":[{"award-number":["61108086"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the Third Military University Science Foundation of China","award":["2012XJQ23"],"award-info":[{"award-number":["2012XJQ23"]}]},{"name":"the Project of State Key Laboratory of Trauma, Burns and Combined Injury of China","award":["SKLZZ(II)201403"],"award-info":[{"award-number":["SKLZZ(II)201403"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BioMed Eng OnLine"],"published-print":{"date-parts":[[2016,12]]},"DOI":"10.1186\/s12938-016-0146-5","type":"journal-article","created":{"date-parts":[[2016,3,21]],"date-time":"2016-03-21T20:34:39Z","timestamp":1458592479000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["A method of localization and segmentation of intervertebral discs in spine MRI based on Gabor filter bank"],"prefix":"10.1186","volume":"15","author":[{"given":"Xinjian","family":"Zhu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuan","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qinghua","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dandan","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiwei","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Baoming","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2016,3,22]]},"reference":[{"key":"146_CR1","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1016\/j.diii.2014.02.019","volume":"96","author":"I Ract","year":"2015","unstructured":"Ract I, Meadeb JM, Mercy G, Cueff F, Husson JL, Guillin R. A review of the value of MRI signs in low back pain. Diagn Interv Imaging. 2015;96:239\u201349.","journal-title":"Diagn Interv Imaging"},{"key":"146_CR2","doi-asserted-by":"crossref","first-page":"1036","DOI":"10.1016\/j.spinee.2013.10.031","volume":"14","author":"S Dagenais","year":"2014","unstructured":"Dagenais S, Galloway EK, Roffey DM. A systematic review of diagnostic imaging use for low back pain in the United States. Spine J. 2014;14:1036\u201348.","journal-title":"Spine J"},{"issue":"5","key":"146_CR3","doi-asserted-by":"crossref","first-page":"746","DOI":"10.1016\/j.ejrad.2015.01.018","volume":"84","author":"R Lzzo","year":"2015","unstructured":"Lzzo R, Popolizio T, D\u2019Aprile P, Muto M. Spinal pain. Eur J Radiol. 2015;84(5):746\u201356.","journal-title":"Eur J Radiol"},{"key":"146_CR4","doi-asserted-by":"crossref","first-page":"757","DOI":"10.1016\/j.ejrad.2014.06.021","volume":"84","author":"R Siemund","year":"2015","unstructured":"Siemund R, Thurnher M, Sundgren PC. How to image patients with spine pain. Eur J Radiol. 2015;84:757\u201364.","journal-title":"Eur J Radiol"},{"key":"146_CR5","doi-asserted-by":"crossref","unstructured":"Ghosh S, Malgireddy MR, Chaudhary V, Dhillon G. A new approach to automatic disc localization in clinical lumbar MRI: combining machine learning with heuristics. 9th IEEE International Symposium on Biomedical Imaging (ISBI). 2012;114\u2013117.","DOI":"10.1109\/ISBI.2012.6235497"},{"key":"146_CR6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TMI.2010.2047403","volume":"30","author":"RS Alomari","year":"2011","unstructured":"Alomari RS, Corso JJ, Chaudhary V. Labeling of lumbar discs using both pixel-and object-level features with a two-level probabilistic model. IEEE Trans Med Imaging. 2011;30:1\u201310.","journal-title":"IEEE Trans Med Imaging"},{"key":"146_CR7","doi-asserted-by":"crossref","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. Atlas-based segmentation of degenerated lumbar intervertebral discs from MR images of the spine. IEEE Trans Biomed Eng. 2009;56:2225\u201331.","journal-title":"IEEE Trans Biomed Eng"},{"key":"146_CR8","doi-asserted-by":"crossref","unstructured":"Peng ZG, Zhong J, Wee W, Lee JH. Automated vertebra detection and segmentation from the whole spine MR images.\u00a02005 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2005;2527\u20132530.","DOI":"10.1109\/IEMBS.2005.1616983"},{"key":"146_CR9","first-page":"17","volume":"9035","author":"I Castro-Mateos","year":"2014","unstructured":"Castro-Mateos I, Pozo JM, Lazary A, Frangi AF. 2D segmentation of intervertebral discs and its degree of degeneration from T2-weighted magnetic resonance images. Medical imaging 2014. Comput Aided Diagn. 2014;9035:17.","journal-title":"Comput Aided Diagn"},{"key":"146_CR10","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1007\/s11548-014-1094-9","volume":"10","author":"R Haq","year":"2015","unstructured":"Haq R, Aras R, Besachio DA, Borgie RC, Audette MA. 3D lumbar spine intervertebral disc segmentation and compression simulation from MRI using shape-aware models. Int J Comput Assist Radiol Surg. 2015;10:45\u201354.","journal-title":"Int J Comput Assist Radiol Surg"},{"key":"146_CR11","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.media.2012.06.006","volume":"17","author":"MWK Law","year":"2013","unstructured":"Law MWK, Tay K, Leung A, Garvin GJ, Li S. Intervertebral disc segmentation in MR images using anisotropic oriented flux. Med Image Anal. 2013;17:43\u201361.","journal-title":"Med Image Anal"},{"key":"146_CR12","doi-asserted-by":"crossref","first-page":"1017","DOI":"10.1007\/978-3-540-74260-9_90","volume":"4633","author":"C Chevrefils","year":"2007","unstructured":"Chevrefils C, Cheriet F, Grimard G, Aubin C. Watershed segmentation of intervertebral disk and spinal canal from MRI images. Image Anal Recognit. 2007;4633:1017\u201327.","journal-title":"Image Anal Recognit"},{"key":"146_CR13","doi-asserted-by":"crossref","first-page":"8357","DOI":"10.1088\/0031-9155\/57\/24\/8357","volume":"57","author":"A Neubert","year":"2012","unstructured":"Neubert A, Fripp J, Engstrom C, Schwarz R, Lauer L, Salvado O, et al. Automated detection, 3D segmentation and analysis of high resolution spine MR images using statistical shape models. Phys Med Biol. 2012;57:8357\u201376.","journal-title":"Phys Med Biol"},{"key":"146_CR14","doi-asserted-by":"crossref","first-page":"1082","DOI":"10.1136\/amiajnl-2012-001547","volume":"20","author":"A Neubert","year":"2013","unstructured":"Neubert A, Fripp J, Engstrom C, Walker D, Weber MA, Schwarz R, et al. Three-dimensional morphological and signal intensity features for detection of intervertebral disc degeneration from magnetic resonance images. J Am Med Inform Assoc. 2013;20:1082\u201390.","journal-title":"J Am Med Inform Assoc"},{"key":"146_CR15","doi-asserted-by":"crossref","first-page":"2375","DOI":"10.1109\/TBME.2013.2256460","volume":"60","author":"AB Oktay","year":"2013","unstructured":"Oktay AB, Akgul YS. Simultaneous localization of lumbar vertebrae and intervertebral discs with SVM-based MRF. IEEE Trans Biomed Eng. 2013;60:2375\u201383.","journal-title":"IEEE Trans Biomed Eng"},{"key":"146_CR16","doi-asserted-by":"crossref","first-page":"639","DOI":"10.1016\/j.compmedimag.2014.03.005","volume":"38","author":"S Ghosh","year":"2014","unstructured":"Ghosh S, Chaudhary V. Supervised methods for detection and segmentation of tissues in clinical lumbar MRI. Comput Med Imaging Graph.\u00a02014;38:639\u201349.","journal-title":"Comput Med Imaging Graph"},{"key":"146_CR17","doi-asserted-by":"crossref","first-page":"1719","DOI":"10.1109\/TMI.2015.2403285","volume":"34","author":"C Chen","year":"2015","unstructured":"Chen C, Belavy D, Yu W, Chu C, Armbrecht G, Bansmann M, Felsenberg D, Zheng G. Localization and segmentation of 3D intervertebral discs in MR Images by data driven estimation. IEEE Trans Med Imaging. 2015;34:1719\u201329.","journal-title":"IEEE Trans Med Imaging"},{"key":"146_CR18","doi-asserted-by":"crossref","first-page":"1283","DOI":"10.1016\/j.media.2012.09.007","volume":"17","author":"BM Kelm","year":"2012","unstructured":"Kelm BM, Wels M, Zhou SK, Seifert S, Suehling M, Zheng Y, Comaniciu D. Spine detection in CT and MR using iterated marginal space learning. Med Image Anal. 2012;17:1283\u201392.","journal-title":"Med Image Anal"},{"key":"146_CR19","doi-asserted-by":"crossref","first-page":"1160","DOI":"10.1364\/JOSAA.2.001160","volume":"2","author":"JG Daugman","year":"1985","unstructured":"Daugman JG. Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. J Opt Soc Am. 1985;2:1160\u20139.","journal-title":"J Opt Soc Am"},{"key":"146_CR20","doi-asserted-by":"crossref","first-page":"1169","DOI":"10.1109\/29.1644","volume":"36","author":"JG Daugman","year":"1988","unstructured":"Daugman JG. Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression. Transact Acoust Speech Signal Process. 1988;36:1169\u201379.","journal-title":"Transact Acoust Speech Signal Process"},{"key":"146_CR21","doi-asserted-by":"crossref","first-page":"3039","DOI":"10.1007\/s13369-013-0924-3","volume":"39","author":"A Radman","year":"2014","unstructured":"Radman A, Jumari K, Zainal N. Iris segmentation in visible wavelength images using circular gabor filters and optimization. Arab J Foren Eng. 2014;39:3039\u201349.","journal-title":"Arab J Foren Eng"},{"key":"146_CR22","doi-asserted-by":"crossref","first-page":"2167","DOI":"10.1109\/TMI.2014.2332571","volume":"33","author":"I Hacihaliloglu","year":"2014","unstructured":"Hacihaliloglu I, Rasoulian A, Rohling RN, et al. Local phase tensor features for 3-D ultrasound to statistical shape\u00a0+\u00a0pose spine model registration. IEEE Trans Med Imaging. 2014;33:2167\u201379.","journal-title":"IEEE Trans Med Imaging"},{"key":"146_CR23","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10916-014-0182-2","volume":"39","author":"T Shu","year":"2015","unstructured":"Shu T, Zhang B. Non-invasive health status detection system using gabor filters based on facial block texture features. J Med Syst. 2015;39:1\u20138.","journal-title":"J Med Syst"},{"key":"146_CR24","doi-asserted-by":"crossref","unstructured":"Ji P, Jin L, Li X. Vision-based vehicle type classification using partial Gabor filter bank. 2007 IEEE International Conference on Automation and Logistics. 2007;1037\u20131040.","DOI":"10.1109\/ICAL.2007.4338720"},{"key":"146_CR25","doi-asserted-by":"crossref","first-page":"959","DOI":"10.1109\/34.541406","volume":"18","author":"TS Lee","year":"1996","unstructured":"Lee TS. Image representation using 2D Gabor wavelets. IEEE Trans Pattern Anal Mach Intell. 1996;18:959\u201371.","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"146_CR26","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1016\/j.ultras.2010.08.001","volume":"51","author":"X Zhu","year":"2011","unstructured":"Zhu X, Zhang P, Shao J, et al. A snake-based method for segmentation of intravascular ultrasound images and its in vivo validation. Ultrasonics. 2011;51:181\u20139.","journal-title":"Ultrasonics"}],"container-title":["BioMedical Engineering OnLine"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12938-016-0146-5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T17:50:45Z","timestamp":1748800245000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.biomedical-engineering-online.com\/content\/15\/1\/32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,3,22]]},"references-count":26,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2016,12]]}},"alternative-id":["146"],"URL":"https:\/\/doi.org\/10.1186\/s12938-016-0146-5","relation":{},"ISSN":["1475-925X"],"issn-type":[{"value":"1475-925X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,3,22]]},"article-number":"32"}}