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Iterative approach for 3D reconstruction of the femur from un-calibrated 2D radiographic images

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dc.contributor.authorYoun, Kibeom-
dc.contributor.authorPark, Moon Seok-
dc.contributor.authorLee, Jehee-
dc.date.accessioned2023-05-08T00:40:51Z-
dc.date.available2023-05-08T00:40:51Z-
dc.date.created2018-07-17-
dc.date.created2018-07-17-
dc.date.created2018-07-17-
dc.date.issued2017-12-
dc.identifier.citationMedical Engineering and Physics, Vol.50, pp.89-95-
dc.identifier.issn1350-4533-
dc.identifier.urihttps://hdl.handle.net/10371/191947-
dc.description.abstractThree-dimensional reconstruction of the femur is important for surgical planning in patients with cerebral palsy. This study aimed to reconstruct the three-dimensional femur shape from un-calibrated bi-planar radiographic images using self-calibration to allow for low-dose preoperative planning. The existing self-calibration techniques require anatomical landmarks that are clearly visible on bi-planar images, which are not available on the femur. In our newly developed method, the self-calibration is performed so that the contour of the statistical shape matches the image contour while the statistical shape is concomitantly optimized. The proposed approach uses conventional radiograph systems and can be easily incorporated into existing clinical protocols, as compared to other reconstruction methods. (C) 2017 IPEM. Published by Elsevier Ltd. All rights reserved.-
dc.language영어-
dc.publisherElsevier BV-
dc.titleIterative approach for 3D reconstruction of the femur from un-calibrated 2D radiographic images-
dc.typeArticle-
dc.identifier.doi10.1016/j.medengphy.2017.08.016-
dc.citation.journaltitleMedical Engineering and Physics-
dc.identifier.wosid000417671900012-
dc.identifier.scopusid2-s2.0-85029511830-
dc.citation.endpage95-
dc.citation.startpage89-
dc.citation.volume50-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorPark, Moon Seok-
dc.contributor.affiliatedAuthorLee, Jehee-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.subject.keywordPlusX-RAY IMAGES-
dc.subject.keywordPlusPROXIMAL FEMUR-
dc.subject.keywordPlusBIPLANAR RADIOGRAPHY-
dc.subject.keywordPlus3-D RECONSTRUCTION-
dc.subject.keywordPlusCEREBRAL-PALSY-
dc.subject.keywordPlusHUMAN SPINE-
dc.subject.keywordPlusSYSTEM-
dc.subject.keywordPlusSEGMENTATION-
dc.subject.keywordPlusMODEL-
dc.subject.keywordPlusRADIATION-
dc.subject.keywordAuthorCerebral palsy-
dc.subject.keywordAuthorFemur-
dc.subject.keywordAuthorBony deformities-
dc.subject.keywordAuthorX-ray-
dc.subject.keywordAuthorComputed tomography-
dc.subject.keywordAuthor3D reconstruction-
dc.subject.keywordAuthorSelf-calibration-
dc.subject.keywordAuthorStatistical shape model-
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Related Researcher

  • College of Medicine
  • Department of Medicine
Research Area Cerebral palsy, Medical image, Motion analysis, Pediatric orthopedic surgery, Statistics in orthopedic research

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