Cranial base superimposition for 3-dimensional evaluation of soft-tissue changes
| Autor: | Alexandre Trindade Motta, Lucia H.C. Cevidanes, William R. Proffit, Martin Styner, James L. Ackerman |
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| Rok vydání: | 2010 |
| Předmět: |
Laser scanning
Computer science Dentistry Orthodontics Computed tomography 3d model Article Cranial base surface Imaging Three-Dimensional Photography medicine Humans Superimposition Maxillofacial Development skin and connective tissue diseases Radiation treatment planning Skull Base medicine.diagnostic_test business.industry Lasers Soft tissue Pattern recognition Cone-Beam Computed Tomography Photogrammetry Face Subtraction Technique sense organs Artificial intelligence business Software |
| Zdroj: | American Journal of Orthodontics and Dentofacial Orthopedics. 137:S120-S129 |
| ISSN: | 0889-5406 |
| DOI: | 10.1016/j.ajodo.2009.04.021 |
| Popis: | Introduction The recent emphases on soft tissues as the limiting factor in treatment and on soft-tissue relationships in establishing the goals of treatment has made 3-dimensional (3D) analysis of soft tissues more important in diagnosis and treatment planning. It is equally important to be able to detect changes in the facial soft tissues produced by growth or treatment. This requires structures of reference for superimposition and a way to display the changes with quantitative information. Methods In this study, we outlined a technique for quantifying facial soft-tissue changes viewed in cone-beam computed tomography data, using fully automated voxel-wise registrations of the cranial base surface. The assessment of soft-tissue changes is done by calculation of the Euclidean surface distances between the 3D models. Color maps are used for visual assessment of the location and the quantification of changes. Results This methodology allows a detailed examination of soft-tissue changes with growth or treatment. Conclusions Because of the lack of stable references with 3D photogrammetry, 3D photography, and laser scanning, soft-tissue changes cannot be accurately quantified by these methods. |
| Databáze: | OpenAIRE |
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