{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T02:30:20Z","timestamp":1789180220565,"version":"build-2803163510"},"reference-count":38,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computer Methods and Programs in Biomedicine"],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1016\/j.cmpb.2022.106812","type":"journal-article","created":{"date-parts":[[2022,4,12]],"date-time":"2022-04-12T01:51:44Z","timestamp":1649728304000},"page":"106812","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":19,"special_numbering":"C","title":["Principal polynomial shape analysis: A non-linear tool for statistical shape modeling"],"prefix":"10.1016","volume":"220","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4951-9738","authenticated-orcid":false,"given":"K","family":"Duquesne","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9763-6106","authenticated-orcid":false,"given":"N","family":"Nauwelaers","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9489-9819","authenticated-orcid":false,"given":"P","family":"Claes","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"EA","family":"Audenaert","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.cmpb.2022.106812_bib0001","series-title":"Biomedical Visualisation","first-page":"67","article-title":"Statistical shape models: understanding and mastering variation in anatomy","author":"Ambellan","year":"2019"},{"key":"10.1016\/j.cmpb.2022.106812_bib0002","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0186754","article-title":"The potential of statistical shape modelling for geometric morphometric analysis of human teeth in archaeological research","volume":"12","author":"Woods","year":"2017","journal-title":"PLoS ONE"},{"key":"10.1016\/j.cmpb.2022.106812_bib0003","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1016\/j.jcms.2021.02.020","article-title":"Statistical shape modelling for the analysis of head shape variations","volume":"49","author":"Heutinck","year":"2021","journal-title":"J. Cranio Maxillofac. Surg."},{"key":"10.1016\/j.cmpb.2022.106812_bib0004","doi-asserted-by":"crossref","first-page":"1211","DOI":"10.11124\/JBIES-20-00069","article-title":"Application of statistical shape modeling to the human hip joint: a scoping review protocol","volume":"19","author":"Johnson","year":"2021","journal-title":"JBI Evid. Synth."},{"key":"10.1016\/j.cmpb.2022.106812_bib0005","series-title":"BMVC92","first-page":"266","article-title":"Active shape models \u2014 \u2018Smart Snakes,\u2019","author":"Cootes","year":"1992"},{"key":"10.1016\/j.cmpb.2022.106812_bib0006","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1006\/cviu.1995.1004","article-title":"Active shape models-their training and application","volume":"61","author":"Cootes","year":"1995","journal-title":"Comput. Vis. Image Underst."},{"key":"10.1016\/j.cmpb.2022.106812_bib0007","series-title":"Proceedings of the IEEE 28th International Workshop on Machine Learning for Signal Processing","first-page":"1","article-title":"Model-order selection in statistical shape models","author":"Eguizabal","year":"2018"},{"key":"10.1016\/j.cmpb.2022.106812_bib0008","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/j.bone.2013.12.006","article-title":"Statistical shape and appearance models of bones","volume":"60","author":"Sarkalkan","year":"2014","journal-title":"Bone"},{"key":"10.1016\/j.cmpb.2022.106812_bib0009","first-page":"10","article-title":"Statistical shape models of cuboid, navicular and talus bones","volume":"101","author":"Melinska","year":"2017","journal-title":"J. Foot Ankle Res."},{"key":"10.1016\/j.cmpb.2022.106812_bib0010","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1016\/j.jse.2017.07.026","article-title":"Virtual reconstruction of glenoid bone defects using a statistical shape model","volume":"27","author":"Plessers","year":"2018","journal-title":"J. Shoulder Elb. Surg."},{"key":"10.1016\/j.cmpb.2022.106812_bib0011","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1080\/10255842.2018.1556260","article-title":"Assessment of scapular morphology and bone quality with statistical models","volume":"22","author":"Burton","year":"2019","journal-title":"Comput. Methods Biomech. Biomed. Eng."},{"key":"10.1016\/j.cmpb.2022.106812_bib0012","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.media.2017.05.006","article-title":"Detection and characterisation of bone destruction in murine rheumatoid arthritis using statistical shape models","volume":"40","author":"Brown","year":"2017","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.cmpb.2022.106812_bib0013","doi-asserted-by":"crossref","first-page":"302","DOI":"10.3389\/fbioe.2019.00302","article-title":"Statistical shape modeling of skeletal anatomy for sex discrimination: their training size, sexual dimorphism, and asymmetry","volume":"7","author":"Audenaert","year":"2019","journal-title":"Front. Bioeng. Biotechnol."},{"key":"10.1016\/j.cmpb.2022.106812_bib0014","doi-asserted-by":"crossref","first-page":"543","DOI":"10.1016\/j.media.2009.05.004","article-title":"Statistical shape models for 3D medical image segmentation: a review","volume":"13","author":"Heimann","year":"2009","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.cmpb.2022.106812_bib0015","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1007\/s10439-019-02354-6","article-title":"Statistical shape modeling approach to predict missing scapular bone","volume":"48","author":"Salhi","year":"2019","journal-title":"Ann. Biomed. Eng."},{"key":"10.1016\/j.cmpb.2022.106812_bib0016","doi-asserted-by":"crossref","first-page":"644","DOI":"10.1080\/10255842.2019.1577828","article-title":"Cascaded statistical shape model based segmentation of the full lower limb in CT","volume":"22","author":"Audenaert","year":"2019","journal-title":"Comput. Methods Biomech. Biomed. Eng."},{"key":"10.1016\/j.cmpb.2022.106812_bib0017","doi-asserted-by":"crossref","first-page":"12175","DOI":"10.1038\/s41598-021-91465-z","article-title":"Large-scale open-source three-dimensional growth curves for clinical facial assessment and objective description of facial dysmorphism","volume":"11","author":"Matthews","year":"2021","journal-title":"Sci. Rep."},{"key":"10.1016\/j.cmpb.2022.106812_bib0018","series-title":"Osteoarthritis and Cartilage","first-page":"S157","article-title":"The genetic architecture of hip statistical shape models suggests that endochondral bone formation makes an important contribution to hip shape","author":"Baird","year":"2018"},{"key":"10.1016\/j.cmpb.2022.106812_bib0019","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.cviu.2014.05.005","article-title":"Review of statistical shape spaces for 3D data with comparative analysis for human faces","volume":"128","author":"Brunton","year":"2014","journal-title":"Comput. Vis. Image Underst."},{"key":"10.1016\/j.cmpb.2022.106812_bib0020","doi-asserted-by":"crossref","first-page":"445","DOI":"10.1016\/B978-0-12-810493-4.00019-5","article-title":"Statistical shape models of the heart: applications to cardiac imaging","author":"Piazzese","year":"2017","journal-title":"Stat. Shape Deform. Anal."},{"key":"10.1016\/j.cmpb.2022.106812_bib0021","doi-asserted-by":"crossref","DOI":"10.1142\/S0129065714400073","article-title":"Principal polynomial analysis","volume":"24","author":"Laparra","year":"2014","journal-title":"Int. J. Neural Syst."},{"key":"10.1016\/j.cmpb.2022.106812_bib0022","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"492","DOI":"10.1007\/978-3-540-88693-8_36","article-title":"Sample sufficiency and PCA dimension for statistical shape models","author":"Mei","year":"2008"},{"key":"10.1016\/j.cmpb.2022.106812_bib0023","article-title":"Separating positional noise from neutral alignment in multicomponent statistical shape models","volume":"12","author":"Audenaert","year":"2020","journal-title":"Bone Rep."},{"key":"10.1016\/j.cmpb.2022.106812_bib0024","doi-asserted-by":"crossref","first-page":"2565","DOI":"10.1109\/TBME.2008.2001125","article-title":"Articulated spine models for 3-D reconstruction from partial radiographic data","volume":"55","author":"Boisvert","year":"2008","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"10.1016\/j.cmpb.2022.106812_bib0025","series-title":"Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE Computer Society","first-page":"6345","article-title":"An articulated statistical shape model for accurate hip joint segmentation","author":"Kainmueller","year":"2009"},{"key":"10.1016\/j.cmpb.2022.106812_bib0026","first-page":"1","article-title":"Dimensionality reduction: a comparative review","volume":"10","author":"Van Der Maaten","year":"2009","journal-title":"J. Mach. Learn. Res."},{"key":"10.1016\/j.cmpb.2022.106812_bib0027","doi-asserted-by":"crossref","first-page":"52298","DOI":"10.1109\/ACCESS.2018.2870140","article-title":"Principal polynomial analysis for fault detection and diagnosis of industrial processes","volume":"6","author":"Zhang","year":"2018","journal-title":"IEEE Access"},{"key":"10.1016\/j.cmpb.2022.106812_bib0028","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2021.102178","article-title":"Rigid motion invariant statistical shape modeling based on discrete fundamental forms: data from the osteoarthritis initiative and the Alzheimer's disease neuroimaging initiative","volume":"73","author":"Ambellan","year":"2021","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.cmpb.2022.106812_bib0029","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.media.2017.09.004","article-title":"An efficient Riemannian statistical shape model using differential coordinates: with application to the classification of data from the osteoarthritis initiative","volume":"43","author":"von Tycowicz","year":"2018","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.cmpb.2022.106812_bib0030","series-title":"Proceedings of the IEEE International Conference on Computer Vision","first-page":"1671","article-title":"Statistical shape modelling in shell space","author":"Zhang","year":"2015"},{"key":"10.1016\/j.cmpb.2022.106812_bib0031","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1111\/cgf.13500","article-title":"Principal geodesic analysis in the space of discrete shells","volume":"37","author":"Heeren","year":"2018","journal-title":"Comput. Graph. Forum"},{"key":"10.1016\/j.cmpb.2022.106812_bib0032","series-title":"Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011","first-page":"4180","article-title":"Principal polynomial analysis for remote sensing data processing","author":"Laparra","year":"2011"},{"key":"10.1016\/j.cmpb.2022.106812_bib0033","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/2766993","article-title":"Dyna: a model of dynamic human shape in motion","volume":"34","author":"Pons-Moll","year":"2015","journal-title":"ACM Trans. Graph."},{"key":"10.1016\/j.cmpb.2022.106812_bib0034","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1007\/978-3-540-45087-0_6","article-title":"Evaluation of 3D correspondence methods for model building","author":"Styner","year":"2003"},{"key":"10.1016\/j.cmpb.2022.106812_bib0035","doi-asserted-by":"crossref","DOI":"10.1186\/s12938-017-0340-0","article-title":"Automatic construction of statistical shape models using deformable simplex meshes with vector field convolution energy","volume":"16","author":"Wang","year":"2017","journal-title":"Biomed. Eng. Online"},{"key":"10.1016\/j.cmpb.2022.106812_bib0036","doi-asserted-by":"crossref","DOI":"10.1016\/j.cmpb.2021.105935","article-title":"An exploration of adolescent facial shape changes with age via multilevel partial least squares regression","volume":"200","author":"Farnell","year":"2021","journal-title":"Comput. Methods Progr. Biomed."},{"key":"10.1016\/j.cmpb.2022.106812_bib0037","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1111\/ocr.12521","article-title":"Exploring palatal and dental shape variation with 3D shape analysis and geometric deep learning","volume":"24","author":"Nauwelaers","year":"2021","journal-title":"Orthod. Craniofac. Res."},{"key":"10.1016\/j.cmpb.2022.106812_bib0038","doi-asserted-by":"crossref","first-page":"233","DOI":"10.3389\/fbioe.2020.00233","article-title":"Statistical modeling of lower limb kinetics during deep squat and forward lunge","volume":"8","author":"De Roeck","year":"2020","journal-title":"Front. Bioeng. Biotechnol."}],"container-title":["Computer Methods and Programs in Biomedicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0169260722001948?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0169260722001948?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,30]],"date-time":"2025-09-30T04:10:03Z","timestamp":1759205403000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0169260722001948"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6]]},"references-count":38,"alternative-id":["S0169260722001948"],"URL":"https:\/\/doi.org\/10.1016\/j.cmpb.2022.106812","relation":{},"ISSN":["0169-2607"],"issn-type":[{"value":"0169-2607","type":"print"}],"subject":[],"published":{"date-parts":[[2022,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Principal polynomial shape analysis: A non-linear tool for statistical shape modeling","name":"articletitle","label":"Article Title"},{"value":"Computer Methods and Programs in Biomedicine","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.cmpb.2022.106812","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"106812"}}