{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T07:07:43Z","timestamp":1778828863921,"version":"3.51.4"},"reference-count":15,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Biomedical Signal Processing and Control"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1016\/j.bspc.2026.110347","type":"journal-article","created":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T03:06:42Z","timestamp":1777086402000},"page":"110347","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Evaluation of a 3D surface topography-based torso scan system: a signal processing approach for non-invasive assessment of thoracic deformities"],"prefix":"10.1016","volume":"122","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2564-8607","authenticated-orcid":false,"given":"Arkadiusz","family":"\u017burawski","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Natalia","family":"Bara\u0144ska","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aleksandra","family":"Tomala","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Edyta","family":"Majorczyk","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joanna","family":"Macierzy\u0144ska","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.bspc.2026.110347_b0005","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1186\/1748-7161-1-2","article-title":"Adolescent idiopathic scoliosis: natural history and long term treatment effects","volume":"1","author":"Asher","year":"2006","journal-title":"Scoliosis"},{"key":"10.1016\/j.bspc.2026.110347_b0010","doi-asserted-by":"crossref","unstructured":"Levy AR, Goldberg MS, Mayo NE, Hanley JA, Poitras B. Reducing the Lifetime Risk of Cancer From Spinal Radiographs Among People With Adolescent Idiopathic Scoliosis. Spine (Phila Pa 1976). 1996 Jul;21(13):1540\u20137. doi:10.1097\/00007632-199607010-00011.","DOI":"10.1097\/00007632-199607010-00011"},{"issue":"6","key":"10.1016\/j.bspc.2026.110347_b0015","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1016\/0021-9290(85)90282-9","article-title":"Objective determination of anatomical landmarks on the body surface: measurement of the vertebra prominens from surface curvature","volume":"18","author":"Drerup","year":"1985","journal-title":"J. Biomech."},{"key":"10.1016\/j.bspc.2026.110347_b0020","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2013\/745480","article-title":"Intra- and interday reliability of spine rasterstereography","volume":"2013","author":"Guidetti","year":"2013","journal-title":"Biomed Res. Int."},{"issue":"11","key":"10.1016\/j.bspc.2026.110347_b0025","doi-asserted-by":"crossref","first-page":"1265","DOI":"10.1038\/ejcn.2016.109","article-title":"Clinical anthropometrics and body composition from 3D whole-body surface scans","volume":"70","author":"Ng","year":"2016","journal-title":"Eur. J. Clin. Nutr."},{"issue":"1","key":"10.1016\/j.bspc.2026.110347_b0030","doi-asserted-by":"crossref","first-page":"23784","DOI":"10.1038\/s41598-024-72013-x","article-title":"Greylag goose optimization and multilayer perceptron for enhancing lung cancer classification","volume":"14","author":"Elkenawy","year":"2024","journal-title":"Sci. Rep."},{"key":"10.1016\/j.bspc.2026.110347_b0035","doi-asserted-by":"crossref","first-page":"169554","DOI":"10.1109\/ACCESS.2025.3614168","article-title":"Groundwater resource prediction and management using comment feedback optimization algorithm for deep learning","volume":"13","author":"Ali Alhussan","year":"2025","journal-title":"IEEE Access"},{"issue":"2","key":"10.1016\/j.bspc.2026.110347_b0040","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.jspd.2015.08.008","article-title":"Multicenter comparison of 3D spinal measurements using surface topography with those from conventional radiography","volume":"4","author":"Knott","year":"2016","journal-title":"Spine Deform."},{"key":"10.1016\/j.bspc.2026.110347_b0045","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1016\/j.gaitpost.2019.01.001","article-title":"Anatomical reference marks, evaluation parameters and reproducibility of surface topography for evaluating the adolescent idiopathic scoliosis: a systematic review with meta-analysis","volume":"69","author":"Navarro","year":"2019","journal-title":"Gait Posture"},{"issue":"23","key":"10.1016\/j.bspc.2026.110347_b0050","doi-asserted-by":"crossref","first-page":"6998","DOI":"10.3390\/jcm11236998","article-title":"Reliability and validity of scoliosis measurements obtained with surface topography techniques: a systematic review","volume":"11","author":"Su","year":"2022","journal-title":"J. Clin. Med."},{"issue":"20","key":"10.1016\/j.bspc.2026.110347_b0055","doi-asserted-by":"crossref","first-page":"8485","DOI":"10.3390\/s23208485","article-title":"Non-invasive assessment of back surface topography: technologies, techniques and clinical utility","volume":"23","author":"Mehta","year":"2023","journal-title":"Sensors"},{"key":"10.1016\/j.bspc.2026.110347_b0060","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.gaitpost.2019.06.025","article-title":"Development of a new 360-degree surface topography application","volume":"73","author":"Michalik","year":"2019","journal-title":"Gait Posture"},{"issue":"21","key":"10.1016\/j.bspc.2026.110347_b0065","doi-asserted-by":"crossref","first-page":"6626","DOI":"10.3390\/s25216626","article-title":"Assessing trunk cross-section geometry and spinal postures with noninvasive 3D surface topography: a study of 108 healthy young adults","volume":"25","author":"\u017burawski","year":"2025","journal-title":"Sensors"},{"issue":"6","key":"10.1016\/j.bspc.2026.110347_b0070","doi-asserted-by":"crossref","first-page":"973","DOI":"10.1016\/j.spinee.2013.09.032","article-title":"Surface topography asymmetry maps categorizing external deformity inscoliosis","volume":"14","author":"Komeili","year":"2014","journal-title":"Spine J."},{"issue":"2","key":"10.1016\/j.bspc.2026.110347_b0075","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1007\/s43390-020-00041-4","article-title":"Surface topography assessment of body shape after surgical correction in adolescent idiopathic scoliosis","volume":"8","author":"Lonner","year":"2020","journal-title":"Spine Deform."}],"container-title":["Biomedical Signal Processing and Control"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1746809426009018?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1746809426009018?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T06:11:52Z","timestamp":1778825512000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1746809426009018"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":15,"alternative-id":["S1746809426009018"],"URL":"https:\/\/doi.org\/10.1016\/j.bspc.2026.110347","relation":{},"ISSN":["1746-8094"],"issn-type":[{"value":"1746-8094","type":"print"}],"subject":[],"published":{"date-parts":[[2026,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Evaluation of a 3D surface topography-based torso scan system: a signal processing approach for non-invasive assessment of thoracic deformities","name":"articletitle","label":"Article Title"},{"value":"Biomedical Signal Processing and Control","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.bspc.2026.110347","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"110347"}}