Deformation corrected workflow for maxillofacial prosthesis modelling
The purpose of this article is to describe a deformation corrected workflow for maxillofacial prosthesis modelling based on the improved Laplace and iterative closest point–based iterative algorithms. For incomplete maxillofacial data with local deformed symmetrical features, the Laplace algorithm w...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2017-02-01
|
| Series: | Advances in Mechanical Engineering |
| Online Access: | https://doi.org/10.1177/1687814017692286 |
| _version_ | 1818453038783791104 |
|---|---|
| author | Jin Sun Zedong Huang Xinglong Zhu Li Zeng Yuan Liu Jing Ding |
| author_facet | Jin Sun Zedong Huang Xinglong Zhu Li Zeng Yuan Liu Jing Ding |
| author_sort | Jin Sun |
| collection | DOAJ |
| description | The purpose of this article is to describe a deformation corrected workflow for maxillofacial prosthesis modelling based on the improved Laplace and iterative closest point–based iterative algorithms. For incomplete maxillofacial data with local deformed symmetrical features, the Laplace algorithm with rotation invariants was demonstrated that the operations can recover the local deformation while preserving the surface geometric detail; the M -estimation iterative closest point–based iterative algorithm integrated with the extended Gaussian image ensures the precision of the symmetry plane, making the outer point having almost no effect on the minimum process. The additional experiments also verified the ability of deformation corrected maxillofacial prosthesis modelling. Case study confirmed that this workflow is attractive and has potential to design the desired maxillofacial prosthesis for correcting the deformed oral soft tissue. The results of this study improve the quality of maxillofacial prostheses modelling. This technique will facilitate modelling of maxillofacial prostheses while helping the patients predict the effect before the prosthesis is manufactured. In addition, this deformation corrected workflow has great potential for improving the development of maxillofacial prosthesis modelling software. |
| first_indexed | 2024-12-14T21:32:38Z |
| format | Article |
| id | doaj.art-ab2000da3d4741c7838689fa0d804464 |
| institution | Directory Open Access Journal |
| issn | 1687-8140 |
| language | English |
| last_indexed | 2024-12-14T21:32:38Z |
| publishDate | 2017-02-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Advances in Mechanical Engineering |
| spelling | doaj.art-ab2000da3d4741c7838689fa0d8044642022-12-21T22:46:40ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402017-02-01910.1177/1687814017692286Deformation corrected workflow for maxillofacial prosthesis modellingJin SunZedong HuangXinglong ZhuLi ZengYuan LiuJing DingThe purpose of this article is to describe a deformation corrected workflow for maxillofacial prosthesis modelling based on the improved Laplace and iterative closest point–based iterative algorithms. For incomplete maxillofacial data with local deformed symmetrical features, the Laplace algorithm with rotation invariants was demonstrated that the operations can recover the local deformation while preserving the surface geometric detail; the M -estimation iterative closest point–based iterative algorithm integrated with the extended Gaussian image ensures the precision of the symmetry plane, making the outer point having almost no effect on the minimum process. The additional experiments also verified the ability of deformation corrected maxillofacial prosthesis modelling. Case study confirmed that this workflow is attractive and has potential to design the desired maxillofacial prosthesis for correcting the deformed oral soft tissue. The results of this study improve the quality of maxillofacial prostheses modelling. This technique will facilitate modelling of maxillofacial prostheses while helping the patients predict the effect before the prosthesis is manufactured. In addition, this deformation corrected workflow has great potential for improving the development of maxillofacial prosthesis modelling software.https://doi.org/10.1177/1687814017692286 |
| spellingShingle | Jin Sun Zedong Huang Xinglong Zhu Li Zeng Yuan Liu Jing Ding Deformation corrected workflow for maxillofacial prosthesis modelling Advances in Mechanical Engineering |
| title | Deformation corrected workflow for maxillofacial prosthesis modelling |
| title_full | Deformation corrected workflow for maxillofacial prosthesis modelling |
| title_fullStr | Deformation corrected workflow for maxillofacial prosthesis modelling |
| title_full_unstemmed | Deformation corrected workflow for maxillofacial prosthesis modelling |
| title_short | Deformation corrected workflow for maxillofacial prosthesis modelling |
| title_sort | deformation corrected workflow for maxillofacial prosthesis modelling |
| url | https://doi.org/10.1177/1687814017692286 |
| work_keys_str_mv | AT jinsun deformationcorrectedworkflowformaxillofacialprosthesismodelling AT zedonghuang deformationcorrectedworkflowformaxillofacialprosthesismodelling AT xinglongzhu deformationcorrectedworkflowformaxillofacialprosthesismodelling AT lizeng deformationcorrectedworkflowformaxillofacialprosthesismodelling AT yuanliu deformationcorrectedworkflowformaxillofacialprosthesismodelling AT jingding deformationcorrectedworkflowformaxillofacialprosthesismodelling |