{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,25]],"date-time":"2026-08-25T19:10:01Z","timestamp":1787685001685,"version":"build-2784847793"},"reference-count":47,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"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":["Medical Image Analysis"],"published-print":{"date-parts":[[2024,10]]},"DOI":"10.1016\/j.media.2024.103267","type":"journal-article","created":{"date-parts":[[2024,7,11]],"date-time":"2024-07-11T00:23:23Z","timestamp":1720657403000},"page":"103267","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":14,"special_numbering":"C","title":["A bidirectional framework for fracture simulation and deformation-based restoration prediction in pelvic fracture surgical planning"],"prefix":"10.1016","volume":"97","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6929-7699","authenticated-orcid":false,"given":"Bolun","family":"Zeng","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huixiang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xingguang","family":"Tao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5641-1517","authenticated-orcid":false,"given":"Haochen","family":"Shi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3010-4770","authenticated-orcid":false,"given":"Leo","family":"Joskowicz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0298-4491","authenticated-orcid":false,"given":"Xiaojun","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.media.2024.103267_b1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s13018-020-01772-w","article-title":"Patterns, management, and outcomes of traumatic pelvic fracture: Insights from a multicenter study","volume":"15","author":"Abdelrahman","year":"2020","journal-title":"J. Orthopaedic Surg. Res."},{"key":"10.1016\/j.media.2024.103267_b2","series-title":"Medical Image Computing and Computer Assisted Intervention\u2013MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13\u201317, 2019, Proceedings, Part V 22","first-page":"227","article-title":"Variational shape completion for virtual planning of jaw reconstructive surgery","author":"Abdi","year":"2019"},{"key":"10.1016\/j.media.2024.103267_b3","first-page":"586","article-title":"Method for registration of 3-D shapes","volume":"vol. 1611","author":"Besl","year":"1992"},{"issue":"6","key":"10.1016\/j.media.2024.103267_b4","first-page":"28","article-title":"The watershed transformation applied to image segmentation","volume":"1992","author":"Beucher","year":"1992","journal-title":"Scanning Microsc."},{"key":"10.1016\/j.media.2024.103267_b5","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2022.102388","article-title":"Surface spherical encoding and contrastive learning for virtual bone shape aging","volume":"77","author":"Caliv\u00e1","year":"2022","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.media.2024.103267_b6","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2022.102615","article-title":"Transmorph: Transformer for unsupervised medical image registration","volume":"82","author":"Chen","year":"2022","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.media.2024.103267_b7","series-title":"Medical Image Computing and Computer-Assisted Intervention\u2013MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II 19","first-page":"424","article-title":"3D U-Net: Learning dense volumetric segmentation from sparse annotation","author":"\u00c7i\u00e7ek","year":"2016"},{"key":"10.1016\/j.media.2024.103267_b8","article-title":"Simultaneous disruption of the pubic symphysis and sacroiliac joint during vaginal birth","volume":"2015","author":"\u00c7\u0131\u00e7ek","year":"2015","journal-title":"Case Rep. Orthop."},{"key":"10.1016\/j.media.2024.103267_b9","doi-asserted-by":"crossref","first-page":"1267","DOI":"10.1007\/s11548-020-02140-z","article-title":"Virtual reconstruction of unilateral pelvic fractures by using pelvic symmetry","volume":"15","author":"Ead","year":"2020","journal-title":"Int. J. Comput. Assist. Radiol. Surg."},{"issue":"1","key":"10.1016\/j.media.2024.103267_b10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/1749-799X-5-50","article-title":"An interactive surgical planning tool for acetabular fractures: Initial results","volume":"5","author":"Fornaro","year":"2010","journal-title":"J. Orthop. Surg. Res."},{"issue":"6","key":"10.1016\/j.media.2024.103267_b11","doi-asserted-by":"crossref","first-page":"1155","DOI":"10.1007\/s11548-022-02626-y","article-title":"Statistical and individual characteristics-based reconstruction for craniomaxillofacial surgery","volume":"17","author":"Han","year":"2022","journal-title":"Int. J. Comput. Assisted Radiol. Surg."},{"issue":"9","key":"10.1016\/j.media.2024.103267_b12","doi-asserted-by":"crossref","DOI":"10.1088\/1361-6560\/ab1456","article-title":"Atlas-based automatic planning and 3D\u20132D fluoroscopic guidance in pelvic trauma surgery","volume":"64","author":"Han","year":"2019","journal-title":"Phys. Med. Biol."},{"key":"10.1016\/j.media.2024.103267_b13","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2020.101917","article-title":"Fracture reduction planning and guidance in orthopaedic trauma surgery via multi-body image registration","volume":"68","author":"Han","year":"2021","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.media.2024.103267_b14","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2020.101821","article-title":"The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge","volume":"67","author":"Heller","year":"2021","journal-title":"Med. Image Anal."},{"issue":"1","key":"10.1016\/j.media.2024.103267_b15","doi-asserted-by":"crossref","first-page":"5472","DOI":"10.1038\/s41467-021-25779-x","article-title":"Automated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learning","volume":"12","author":"Hsieh","year":"2021","journal-title":"Nature Commun."},{"issue":"2","key":"10.1016\/j.media.2024.103267_b16","doi-asserted-by":"crossref","first-page":"589","DOI":"10.1016\/j.injury.2022.12.007","article-title":"Epidemiology and burden of pelvic fractures: Results from the global burden of disease study 2019","volume":"54","author":"Hu","year":"2023","journal-title":"Injury"},{"issue":"9","key":"10.1016\/j.media.2024.103267_b17","doi-asserted-by":"crossref","first-page":"1607","DOI":"10.1136\/annrheumdis-2015-207602","article-title":"Longitudinal validation of periarticular bone area and 3D shape as biomarkers for knee OA progression? Data from the FNIH OA biomarkers consortium","volume":"75","author":"Hunter","year":"2016","journal-title":"Ann. Rheum. Dis."},{"key":"10.1016\/j.media.2024.103267_b18","article-title":"Spatial transformer networks","volume":"28","author":"Jaderberg","year":"2015","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.media.2024.103267_b19","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.media.2015.12.005","article-title":"Computer assisted preoperative planning of bone fracture reduction: Simulation techniques and new trends","volume":"30","author":"Jim\u00e9nez-Delgado","year":"2016","journal-title":"Med. Image Anal."},{"issue":"12","key":"10.1016\/j.media.2024.103267_b20","doi-asserted-by":"crossref","first-page":"1207","DOI":"10.1056\/NEJMoa0800996","article-title":"Accuracy of CT colonography for detection of large adenomas and cancers","volume":"359","author":"Johnson","year":"2008","journal-title":"New England J. Med."},{"issue":"03","key":"10.1016\/j.media.2024.103267_b21","first-page":"245","article-title":"Virtual 3D planning of pelvic fracture reduction and implant placement","volume":"24","author":"Lee","year":"2012","journal-title":"Biomed. Eng.: Appl., Basis Commun."},{"key":"10.1016\/j.media.2024.103267_b22","doi-asserted-by":"crossref","first-page":"749","DOI":"10.1007\/s11548-021-02363-8","article-title":"Deep learning to segment pelvic bones: Large-scale CT datasets and baseline models","volume":"16","author":"Liu","year":"2021","journal-title":"Int. J. Comput. Assisted Radiol. Surg."},{"key":"10.1016\/j.media.2024.103267_b23","series-title":"Seminal Graphics: Pioneering Efforts that Shaped the Field","first-page":"347","article-title":"Marching cubes: A high resolution 3D surface construction algorithm","author":"Lorensen","year":"1998"},{"key":"10.1016\/j.media.2024.103267_b24","doi-asserted-by":"crossref","DOI":"10.1109\/TBME.2023.3272007","article-title":"Preoperative virtual reduction planning algorithm of fractured pelvis based on adaptive templates","author":"Lu","year":"2023","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"10.1016\/j.media.2024.103267_b25","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2021.102120","article-title":"Complex fracture reduction by exact identification of the fracture zone","volume":"72","author":"Luque-Luque","year":"2021","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.media.2024.103267_b26","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2022.102644","article-title":"Bidirectional prediction of facial and bony shapes for orthognathic surgical planning","volume":"83","author":"Ma","year":"2023","journal-title":"Med. Image Anal."},{"issue":"2","key":"10.1016\/j.media.2024.103267_b27","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1109\/TPAMI.2003.1177156","article-title":"A linear time algorithm for computing exact euclidean distance transforms of binary images in arbitrary dimensions","volume":"25","author":"Maurer","year":"2003","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"7\u20138","key":"10.1016\/j.media.2024.103267_b28","doi-asserted-by":"crossref","first-page":"709","DOI":"10.1016\/j.diii.2016.02.010","article-title":"Pelvic, acetabular and hip fractures: What the surgeon should expect from the radiologist","volume":"97","author":"Moliere","year":"2016","journal-title":"Diagn. Interv. Imaging"},{"key":"10.1016\/j.media.2024.103267_b29","series-title":"A Mathematical Introduction to Robotic Manipulation","author":"Murray","year":"2017"},{"key":"10.1016\/j.media.2024.103267_b30","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.cmpb.2016.12.014","article-title":"Identification of fracture zones and its application in automatic bone fracture reduction","volume":"141","author":"Paulano-Godino","year":"2017","journal-title":"Comput. Methods Programs Biomed."},{"key":"10.1016\/j.media.2024.103267_b31","series-title":"2009 IEEE International Conference on Robotics and Automation","first-page":"3212","article-title":"Fast point feature histograms (FPFH) for 3D registration","author":"Rusu","year":"2009"},{"issue":"2","key":"10.1016\/j.media.2024.103267_b32","doi-asserted-by":"crossref","first-page":"368","DOI":"10.1148\/radiol.2019190434","article-title":"Screening of bone density at CT: An overlooked opportunity","volume":"291","author":"Smith","year":"2019","journal-title":"Radiology"},{"issue":"11","key":"10.1016\/j.media.2024.103267_b33","first-page":"2423","article-title":"Clinical outcomes of unstable pelvic fractures in skeletally immature patients","volume":"87","author":"Smith","year":"2005","journal-title":"J. Bone Joint Surg."},{"key":"10.1016\/j.media.2024.103267_b34","doi-asserted-by":"crossref","unstructured":"Tang, Y., Yang, D., Li, W., Roth, H.R., Landman, B., Xu, D., Nath, V., Hatamizadeh, A., 2022. Self-supervised pre-training of swin transformers for 3d medical image analysis. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 20730\u201320740.","DOI":"10.1109\/CVPR52688.2022.02007"},{"issue":"9","key":"10.1016\/j.media.2024.103267_b35","doi-asserted-by":"crossref","first-page":"1715","DOI":"10.1007\/s11548-023-02884-4","article-title":"A multi-view interactive virtual-physical registration method for mixed reality based surgical navigation in pelvic and acetabular fracture fixation","volume":"18","author":"Tu","year":"2023","journal-title":"Int. J. Comput. Assisted Radiol. Surg."},{"key":"10.1016\/j.media.2024.103267_b36","series-title":"Pelvic trauma","author":"Tullington","year":"2020"},{"key":"10.1016\/j.media.2024.103267_b37","doi-asserted-by":"crossref","DOI":"10.2196\/40541","article-title":"Advantages of a training course for surgical planning in virtual reality for oral and maxillofacial surgery: Crossover study","volume":"11","author":"Ulbrich","year":"2023","journal-title":"JMIR Serious Games"},{"issue":"8","key":"10.1016\/j.media.2024.103267_b38","doi-asserted-by":"crossref","first-page":"1698","DOI":"10.1016\/j.injury.2016.05.006","article-title":"Application of an innovative computerized virtual planning system in acetabular fracture surgery: A feasibility study","volume":"47","author":"Wang","year":"2016","journal-title":"Injury"},{"issue":"2","key":"10.1016\/j.media.2024.103267_b39","doi-asserted-by":"crossref","first-page":"362","DOI":"10.1109\/TBME.2020.2990586","article-title":"Estimating reference shape model for personalized surgical reconstruction of craniomaxillofacial defects","volume":"68","author":"Xiao","year":"2021","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"10.1016\/j.media.2024.103267_b40","series-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention","first-page":"462","article-title":"Automatic surgical reconstruction for orbital blow-out fracture via symmetric prior anatomical knowledge-guided adversarial generative network","author":"Xu","year":"2023"},{"key":"10.1016\/j.media.2024.103267_b41","doi-asserted-by":"crossref","DOI":"10.1088\/1361-6560\/ac840f","article-title":"A review on AI-based medical image computing in head and neck surgery","author":"Xu","year":"2022","journal-title":"Phys. Med. Biol."},{"issue":"7","key":"10.1016\/j.media.2024.103267_b42","doi-asserted-by":"crossref","first-page":"3985","DOI":"10.1109\/JBHI.2024.3391387","article-title":"Adaptive multi-dimensional weighted network with category-aware contrastive learning for fine-grained hand bone segmentation","volume":"28","author":"Zeng","year":"2024","journal-title":"IEEE J. Biomed. Health Inf."},{"key":"10.1016\/j.media.2024.103267_b43","doi-asserted-by":"crossref","DOI":"10.1016\/j.compmedimag.2024.102412","article-title":"Fragment distance-guided dual-stream learning for automatic pelvic fracture segmentation","author":"Zeng","year":"2024","journal-title":"Comput. Med. Imaging Graph."},{"issue":"9","key":"10.1016\/j.media.2024.103267_b44","doi-asserted-by":"crossref","first-page":"2751","DOI":"10.1109\/TMI.2023.3264298","article-title":"Two-stage structure-focused contrastive learning for automatic identification and localization of complex pelvic fractures","volume":"42","author":"Zeng","year":"2023","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"1","key":"10.1016\/j.media.2024.103267_b45","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1002\/jor.22987","article-title":"Computer-aided pelvic reduction frame for anatomical closed reduction of unstable pelvic fractures","volume":"34","author":"Zhang","year":"2016","journal-title":"J. Orthop. Res."},{"issue":"8","key":"10.1016\/j.media.2024.103267_b46","doi-asserted-by":"crossref","first-page":"2271","DOI":"10.1111\/os.13145","article-title":"Correlation of CT values and bone mineral density in elderly Chinese patients with proximal humeral fractures","volume":"13","author":"Zhang","year":"2021","journal-title":"Orthop. Surg."},{"issue":"6","key":"10.1016\/j.media.2024.103267_b47","first-page":"577","article-title":"Automatic reduction planning of pelvic fracture based on symmetry","volume":"10","author":"Zhao","year":"2022","journal-title":"Comput. Methods Biomech. Biomed. Eng.: Imaging Vis."}],"container-title":["Medical Image Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1361841524001920?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1361841524001920?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,2,14]],"date-time":"2025-02-14T01:48:56Z","timestamp":1739497736000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1361841524001920"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10]]},"references-count":47,"alternative-id":["S1361841524001920"],"URL":"https:\/\/doi.org\/10.1016\/j.media.2024.103267","relation":{},"ISSN":["1361-8415"],"issn-type":[{"value":"1361-8415","type":"print"}],"subject":[],"published":{"date-parts":[[2024,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A bidirectional framework for fracture simulation and deformation-based restoration prediction in pelvic fracture surgical planning","name":"articletitle","label":"Article Title"},{"value":"Medical Image Analysis","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.media.2024.103267","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"103267"}}