{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T03:59:19Z","timestamp":1773979159291,"version":"3.50.1"},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2017,1,6]],"date-time":"2017-01-06T00:00:00Z","timestamp":1483660800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"JSPS Grants-in-Aid for Scientific Research KAKENHI","award":["15H01108 and 15K19775"],"award-info":[{"award-number":["15H01108 and 15K19775"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J CARS"],"published-print":{"date-parts":[[2017,5]]},"DOI":"10.1007\/s11548-016-1516-y","type":"journal-article","created":{"date-parts":[[2017,1,6]],"date-time":"2017-01-06T02:49:27Z","timestamp":1483670967000},"page":"719-732","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Automatic detection of vertebral number abnormalities in body CT images"],"prefix":"10.1007","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7496-1651","authenticated-orcid":false,"given":"Shouhei","family":"Hanaoka","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yoshiyasu","family":"Nakano","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mitsutaka","family":"Nemoto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yukihiro","family":"Nomura","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tomomi","family":"Takenaga","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Soichiro","family":"Miki","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Takeharu","family":"Yoshikawa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Naoto","family":"Hayashi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yoshitaka","family":"Masutani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Akinobu","family":"Shimizu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,1,6]]},"reference":[{"issue":"3","key":"1516_CR1","doi-asserted-by":"publisher","first-page":"811","DOI":"10.1148\/radiol.2423060260","volume":"242","author":"SD O\u2019Connor","year":"2007","unstructured":"O\u2019Connor SD, Yao J, Summers RM (2007) Lytic metastases in thoracolumbar spine: computer-aided detection at CT-preliminary study. Radiology 242(3):811\u2013816. doi:\n                        10.1148\/radiol.2423060260","journal-title":"Radiology"},{"issue":"1","key":"1516_CR2","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1118\/1.2820631","volume":"35","author":"D Letourneau","year":"2008","unstructured":"Letourneau D, Kaus M, Wong R, Vloet A, Fitzpatrick DA, Gospodarowicz M, Jaffray DA (2008) Semiautomatic vertebrae visualization, detection, and identification for online palliative radiotherapy of bone metastases of the spine. Med Phys 35(1):367\u2013376. doi:\n                        10.1118\/1.2820631","journal-title":"Med Phys"},{"issue":"6","key":"1516_CR3","doi-asserted-by":"publisher","first-page":"1420","DOI":"10.1109\/tmi.2016.2514530","volume":"35","author":"D Knez","year":"2016","unstructured":"Knez D, Likar B, Pernus F, Vrtovec T (2016) Computer-assisted screw size and insertion trajectory planning for pedicle screw placement surgery. IEEE Trans Med Imaging 35(6):1420\u20131430. doi:\n                        10.1109\/tmi.2016.2514530","journal-title":"IEEE Trans Med Imaging"},{"issue":"3","key":"1516_CR4","doi-asserted-by":"publisher","first-page":"471","DOI":"10.1016\/j.media.2009.02.004","volume":"13","author":"T Klinder","year":"2009","unstructured":"Klinder T, Ostermann J, Ehm M, Franz A, Kneser R, Lorenz C (2009) Automated model-based vertebra detection, identification, and segmentation in CT images. Med Image Anal 13(3):471\u2013482","journal-title":"Med Image Anal"},{"issue":"Pt 2","key":"1516_CR5","first-page":"262","volume":"16","author":"B Glocker","year":"2013","unstructured":"Glocker B, Zikic D, Konukoglu E, Haynor DR, Criminisi A (2013) Vertebrae localization in pathological spine CT via dense classification from sparse annotations. Int Conf Med Image Comput Comput Assist Interv (MICCAI) 16(Pt 2):262\u2013270","journal-title":"Int Conf Med Image Comput Comput Assist Interv (MICCAI)"},{"issue":"10","key":"1516_CR6","doi-asserted-by":"publisher","first-page":"1595","DOI":"10.1109\/tmi.2009.2023362","volume":"28","author":"SH Huang","year":"2009","unstructured":"Huang SH, Chu YH, Lai SH, Novak CL (2009) Learning-based vertebra detection and iterative normalized-cut segmentation for spinal MRI. IEEE Trans Med Imaging 28(10):1595\u20131605. doi:\n                        10.1109\/tmi.2009.2023362","journal-title":"IEEE Trans Med Imaging"},{"issue":"8","key":"1516_CR7","doi-asserted-by":"publisher","first-page":"1283","DOI":"10.1016\/j.media.2012.09.007","volume":"17","author":"BM Kelm","year":"2013","unstructured":"Kelm BM, Wels M, Zhou SK, Seifert S, Suehling M, Zheng Y, Comaniciu D (2013) Spine detection in CT and MR using iterated marginal space learning. Med Image Anal 17(8):1283\u20131292. doi:\n                        10.1016\/j.media.2012.09.007","journal-title":"Med Image Anal"},{"key":"1516_CR8","doi-asserted-by":"publisher","first-page":"47","DOI":"10.4103\/2152-7806.79769","volume":"2","author":"J Hsiang","year":"2011","unstructured":"Hsiang J (2011) Wrong-level surgery: a unique problem in spine surgery. Surg Neurol Int 2:47. doi:\n                        10.4103\/2152-7806.79769","journal-title":"Surg Neurol Int"},{"issue":"1","key":"1516_CR9","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1186\/1754-9493-5-33","volume":"5","author":"EM Lindley","year":"2011","unstructured":"Lindley EM, Botolin S, Burger EL, Patel VV (2011) Unusual spine anatomy contributing to wrong level spine surgery: a case report and recommendations for decreasing the risk of preventable \u2019never events\u2019. Patient Saf Surg 5(1):33. doi:\n                        10.1186\/1754-9493-5-33","journal-title":"Patient Saf Surg"},{"issue":"1","key":"1516_CR10","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1148\/radiol.11081511","volume":"259","author":"JA Carrino","year":"2011","unstructured":"Carrino JA, Campbell PD Jr, Lin DC, Morrison WB, Schweitzer ME, Flanders AE, Eng J, Vaccaro AR (2011) Effect of spinal segment variants on numbering vertebral levels at lumbar MR imaging. Radiology 259(1):196\u2013202. doi:\n                        10.1148\/radiol.11081511","journal-title":"Radiology"},{"issue":"2","key":"1516_CR11","doi-asserted-by":"publisher","first-page":"580","DOI":"10.1148\/radiology.182.2.1732988","volume":"182","author":"PY Hahn","year":"1992","unstructured":"Hahn PY, Strobel JJ, Hahn FJ (1992) Verification of lumbosacral segments on MR images: identification of transitional vertebrae. Radiology 182(2):580\u2013581. doi:\n                        10.1148\/radiology.182.2.1732988","journal-title":"Radiology"},{"issue":"5","key":"1516_CR12","doi-asserted-by":"publisher","first-page":"493","DOI":"10.1097\/00007632-198407000-00014","volume":"9","author":"AE Castellvi","year":"1984","unstructured":"Castellvi AE, Goldstein LA, Chan DP (1984) Lumbosacral transitional vertebrae and their relationship with lumbar extradural defects. Spine 9(5):493\u2013495","journal-title":"Spine"},{"issue":"3","key":"1516_CR13","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1097\/00007632-198005000-00003","volume":"5","author":"RE Wigh","year":"1980","unstructured":"Wigh RE (1980) The thoracolumbar and lumbosacral transitional junctions. Spine 5(3):215\u2013222","journal-title":"Spine"},{"issue":"1","key":"1516_CR14","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1007\/s13244-013-0286-0","volume":"5","author":"A Nakajima","year":"2014","unstructured":"Nakajima A, Usui A, Hosokai Y, Kawasumi Y, Abiko K, Funayama M, Saito H (2014) The prevalence of morphological changes in the thoracolumbar spine on whole-spine computed tomographic images. Insights Imaging 5(1):77\u201383. doi:\n                        10.1007\/s13244-013-0286-0","journal-title":"Insights Imaging"},{"key":"1516_CR15","unstructured":"Yao J, O\u2019Connor SD, Summers RM (2006) Automated spinal column extraction and partitioning. In: 3rd IEEE international symposium on biomedical imaging: nano to macro, 2006, IEEE, pp 390\u2013393"},{"issue":"Pt 1","key":"1516_CR16","first-page":"19","volume":"13","author":"J Ma","year":"2010","unstructured":"Ma J, Lu L, Zhan Y, Zhou X, Salganicoff M, Krishnan A (2010) Hierarchical segmentation and identification of thoracic vertebra using learning-based edge detection and coarse-to-fine deformable model. Int Conf Med Image Comput Comput Assist Interv (MICCAI) 13(Pt 1):19\u201327","journal-title":"Int Conf Med Image Comput Comput Assist Interv (MICCAI)"},{"issue":"Pt 3","key":"1516_CR17","first-page":"590","volume":"15","author":"B Glocker","year":"2012","unstructured":"Glocker B, Feulner J, Criminisi A, Haynor DR, Konukoglu E (2012) Automatic localization and identification of vertebrae in arbitrary field-of-view CT scans. Int Conf Med Image Comput Comput Assist Interv (MICCAI) 15(Pt 3):590\u2013598","journal-title":"Int Conf Med Image Comput Comput Assist Interv (MICCAI)"},{"issue":"11","key":"1516_CR18","doi-asserted-by":"publisher","first-page":"e0143327","DOI":"10.1371\/journal.pone.0143327","volume":"10","author":"C Chu","year":"2015","unstructured":"Chu C, Belavy DL, Armbrecht G, Bansmann M, Felsenberg D, Zheng G (2015) Fully automatic localization and segmentation of 3D vertebral bodies from CT\/MR images via a learning-based method. PloS ONE 10(11):e0143327. doi:\n                        10.1371\/journal.pone.0143327","journal-title":"PloS ONE"},{"issue":"8","key":"1516_CR19","doi-asserted-by":"publisher","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 (2015) Localization and segmentation of 3D intervertebral discs in MR images by data driven estimation. IEEE Trans Med Imaging 34(8):1719\u20131729. doi:\n                        10.1109\/tmi.2015.2403285","journal-title":"IEEE Trans Med Imaging"},{"issue":"8","key":"1516_CR20","doi-asserted-by":"publisher","first-page":"1649","DOI":"10.1109\/tmi.2015.2389334","volume":"34","author":"R Korez","year":"2015","unstructured":"Korez R, Ibragimov B, Likar B, Pernus F, Vrtovec T (2015) A framework for automated spine and vertebrae interpolation-based detection and model-based segmentation. IEEE Trans Med Imaging 34(8):1649\u20131662. doi:\n                        10.1109\/tmi.2015.2389334","journal-title":"IEEE Trans Med Imaging"},{"issue":"8","key":"1516_CR21","doi-asserted-by":"publisher","first-page":"082305","DOI":"10.1118\/1.4890587","volume":"41","author":"S Daenzer","year":"2014","unstructured":"Daenzer S, Freitag S, von Sachsen S, Steinke H, Groll M, Meixensberger J, Leimert M (2014) VolHOG: a volumetric object recognition approach based on bivariate histograms of oriented gradients for vertebra detection in cervical spine MRI. Med Phys 41(8):082305. doi:\n                        10.1118\/1.4890587","journal-title":"Med Phys"},{"issue":"8","key":"1516_CR22","doi-asserted-by":"publisher","first-page":"1151","DOI":"10.1016\/j.media.2013.07.005","volume":"17","author":"D Major","year":"2013","unstructured":"Major D, Hladuvka J, Schulze F, Buhler K (2013) Automated landmarking and labeling of fully and partially scanned spinal columns in CT images. Med Image Anal 17(8):1151\u20131163. doi:\n                        10.1016\/j.media.2013.07.005","journal-title":"Med Image Anal"},{"key":"1516_CR23","doi-asserted-by":"publisher","first-page":"192","DOI":"10.1016\/j.media.2016.04.001","volume":"35","author":"S Hanaoka","year":"2016","unstructured":"Hanaoka S, Shimizu A, Nemoto M, Nomura Y, Miki S, Yoshikawa T, Hayashi N, Ohtomo K, Masutani Y (2016) Automatic detection of over 100 anatomical landmarks in medical CT images: A framework with independent detectors and combinatorial optimization. Med Image Anal 35:192\u2013214. doi:\n                        10.1016\/j.media.2016.04.001","journal-title":"Med Image Anal"},{"key":"1516_CR24","doi-asserted-by":"publisher","unstructured":"Hanaoka S, Masutani Y, Nemoto M, Nomura Y, Miki S, Yoshikawa T, Hayashi N, Ohtomo K (2013) A multiple anatomical landmark detection system for body CT images. In: 2013 First international symposium on computing and networking, 4\u20136 December, pp 308-311. doi:\n                        10.1109\/CANDAR.2013.54","DOI":"10.1109\/CANDAR.2013.54"},{"key":"1516_CR25","doi-asserted-by":"publisher","unstructured":"Murata N, Takenouchi T, Kanamori T, Eguchi S (2004) Information geometry of U-boost and bregman divergence. Neural Comput 16(7):1437\u20131481. doi:\n                        10.1162\/089976604323057452","DOI":"10.1162\/089976604323057452"},{"key":"1516_CR26","doi-asserted-by":"publisher","unstructured":"Nemoto M, Masutani Y, Hanaoka S, Nomura Y, Yoshikawa T, Hayashi N, Yoshioka N, Ohtomo K (2011) A unified framework for concurrent detection of anatomical landmarks for medical image understanding. SPIE Med Imaging. doi:\n                        10.1117\/12.878327","DOI":"10.1117\/12.878327"},{"key":"1516_CR27","unstructured":"Tu Z, Zhou XS, Bogoni L, Barbu A, Comaniciu D (2006) Probabilistic 3D polyp detection in CT images: the role of sample alignment. In: Computer vision and pattern recognition, 2006 IEEE computer society conference on IEEE, pp 1544\u20131551"},{"issue":"5","key":"1516_CR28","doi-asserted-by":"publisher","first-page":"438","DOI":"10.1016\/1049-9652(92)90027-U","volume":"54","author":"RJ Prokop","year":"1992","unstructured":"Prokop RJ, Reeves AP (1992) A survey of moment-based techniques for unoccluded object representation and recognition. CVGIP Gr Models Image Process 54(5):438\u2013460","journal-title":"CVGIP Gr Models Image Process"},{"issue":"2","key":"1516_CR29","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","volume":"60","author":"DG Lowe","year":"2004","unstructured":"Lowe DG (2004) Distinctive image features from scale-invariant keypoints. Int J Comput Vis 60(2):91\u2013110","journal-title":"Int J Comput Vis"},{"issue":"6","key":"1516_CR30","doi-asserted-by":"publisher","first-page":"721","DOI":"10.1109\/TPAMI.1984.4767596","volume":"6","author":"S Geman","year":"1984","unstructured":"Geman S, Geman D (1984) Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Trans Pattern Anal Mach Intell 6(6):721\u2013741","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1516_CR31","first-page":"159","volume":"2011","author":"S Hanaoka","year":"2011","unstructured":"Hanaoka S, Masutani Y, Nemoto M, Nomura Y, Yoshikawa T, Hayashi N, Yoshioka N, Ohtomo K (2011) Probabilistic modeling of landmark distances and structure for anomaly-proof landmark detection. Proc Third Int Workshop Math Found Comput Anat 2011:159\u2013169","journal-title":"Proc Third Int Workshop Math Found Comput Anat"},{"issue":"7","key":"1516_CR32","doi-asserted-by":"publisher","first-page":"1227","DOI":"10.1109\/TMI.2013.2244903","volume":"32","author":"S Kadoury","year":"2013","unstructured":"Kadoury S, Labelle H, Paragios N (2013) Spine segmentation in medical images using manifold embeddings and higher-order MRFs. IEEE Trans Med Imaging 32(7):1227\u20131238","journal-title":"IEEE Trans Med Imaging"},{"key":"1516_CR33","doi-asserted-by":"publisher","unstructured":"Sawada Y, Hontani H (2012) A study on graphical model structure for representing statistical shape model of point distribution model. In: Ayache N, Delingette H, Golland P, Mori K (eds) Medical image computing and computer-assisted intervention\u2014MICCAI 2012: 15th International conference, Nice, France, October 1\u20135, 2012, Proceedings, Part II. Springer, Berlin, pp 470\u2013477. doi:\n                        10.1007\/978-3-642-33418-4_58","DOI":"10.1007\/978-3-642-33418-4_58"}],"container-title":["International Journal of Computer Assisted Radiology and Surgery"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11548-016-1516-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11548-016-1516-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11548-016-1516-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,5,5]],"date-time":"2017-05-05T05:06:33Z","timestamp":1493960793000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11548-016-1516-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,1,6]]},"references-count":33,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2017,5]]}},"alternative-id":["1516"],"URL":"https:\/\/doi.org\/10.1007\/s11548-016-1516-y","relation":{},"ISSN":["1861-6410","1861-6429"],"issn-type":[{"value":"1861-6410","type":"print"},{"value":"1861-6429","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,1,6]]}}}