3D craniofacial registration using thin-plate spline transform and cylindrical surface projection.
Craniofacial registration is used to establish the point-to-point correspondence in a unified coordinate system among human craniofacial models. It is the foundation of craniofacial reconstruction and other craniofacial statistical analysis research. In this paper, a non-rigid 3D craniofacial regist...
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| Language: | English |
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Public Library of Science (PLoS)
2017-01-01
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| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0185567&type=printable |
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| author | Yucong Chen Junli Zhao Qingqiong Deng Fuqing Duan |
| author_facet | Yucong Chen Junli Zhao Qingqiong Deng Fuqing Duan |
| author_sort | Yucong Chen |
| collection | DOAJ |
| description | Craniofacial registration is used to establish the point-to-point correspondence in a unified coordinate system among human craniofacial models. It is the foundation of craniofacial reconstruction and other craniofacial statistical analysis research. In this paper, a non-rigid 3D craniofacial registration method using thin-plate spline transform and cylindrical surface projection is proposed. First, the gradient descent optimization is utilized to improve a cylindrical surface fitting (CSF) for the reference craniofacial model. Second, the thin-plate spline transform (TPST) is applied to deform a target craniofacial model to the reference model. Finally, the cylindrical surface projection (CSP) is used to derive the point correspondence between the reference and deformed target models. To accelerate the procedure, the iterative closest point ICP algorithm is used to obtain a rough correspondence, which can provide a possible intersection area of the CSP. Finally, the inverse TPST is used to map the obtained corresponding points from the deformed target craniofacial model to the original model, and it can be realized directly by the correspondence between the original target model and the deformed target model. Three types of registration, namely, reflexive, involutive and transitive registration, are carried out to verify the effectiveness of the proposed craniofacial registration algorithm. Comparison with the methods in the literature shows that the proposed method is more accurate. |
| format | Article |
| id | doaj-art-caee384b055946e48c5398eddb978da7 |
| institution | OA Journals |
| issn | 1932-6203 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-caee384b055946e48c5398eddb978da72025-08-20T02:18:34ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-011210e018556710.1371/journal.pone.01855673D craniofacial registration using thin-plate spline transform and cylindrical surface projection.Yucong ChenJunli ZhaoQingqiong DengFuqing DuanCraniofacial registration is used to establish the point-to-point correspondence in a unified coordinate system among human craniofacial models. It is the foundation of craniofacial reconstruction and other craniofacial statistical analysis research. In this paper, a non-rigid 3D craniofacial registration method using thin-plate spline transform and cylindrical surface projection is proposed. First, the gradient descent optimization is utilized to improve a cylindrical surface fitting (CSF) for the reference craniofacial model. Second, the thin-plate spline transform (TPST) is applied to deform a target craniofacial model to the reference model. Finally, the cylindrical surface projection (CSP) is used to derive the point correspondence between the reference and deformed target models. To accelerate the procedure, the iterative closest point ICP algorithm is used to obtain a rough correspondence, which can provide a possible intersection area of the CSP. Finally, the inverse TPST is used to map the obtained corresponding points from the deformed target craniofacial model to the original model, and it can be realized directly by the correspondence between the original target model and the deformed target model. Three types of registration, namely, reflexive, involutive and transitive registration, are carried out to verify the effectiveness of the proposed craniofacial registration algorithm. Comparison with the methods in the literature shows that the proposed method is more accurate.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0185567&type=printable |
| spellingShingle | Yucong Chen Junli Zhao Qingqiong Deng Fuqing Duan 3D craniofacial registration using thin-plate spline transform and cylindrical surface projection. PLoS ONE |
| title | 3D craniofacial registration using thin-plate spline transform and cylindrical surface projection. |
| title_full | 3D craniofacial registration using thin-plate spline transform and cylindrical surface projection. |
| title_fullStr | 3D craniofacial registration using thin-plate spline transform and cylindrical surface projection. |
| title_full_unstemmed | 3D craniofacial registration using thin-plate spline transform and cylindrical surface projection. |
| title_short | 3D craniofacial registration using thin-plate spline transform and cylindrical surface projection. |
| title_sort | 3d craniofacial registration using thin plate spline transform and cylindrical surface projection |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0185567&type=printable |
| work_keys_str_mv | AT yucongchen 3dcraniofacialregistrationusingthinplatesplinetransformandcylindricalsurfaceprojection AT junlizhao 3dcraniofacialregistrationusingthinplatesplinetransformandcylindricalsurfaceprojection AT qingqiongdeng 3dcraniofacialregistrationusingthinplatesplinetransformandcylindricalsurfaceprojection AT fuqingduan 3dcraniofacialregistrationusingthinplatesplinetransformandcylindricalsurfaceprojection |