3D dentofacial imaging standards :

Date
2014
DOI
Authors
Bansal, Neetu
Version
OA Version
Citation
Abstract
Background: Orthodontic diagnosis currently involves examining the patient and taking photographs, radiographs, and study models to assess the positions of the jaws and teeth. Those measurements are then compared to the norms which were selected by orthodontists over 50 years ago. Historically, orthodontists have treated patients to conform to those norms regardless of the final soft tissue outcome. The aim of this study is to combine 3D facial and dental images to create normal values for attractive female models with Class I occlusion and develop a radiation free method to help in diagnosis and treatment planning. Material and Methods: 200 female models were screened from 3 modeling agencies. 60 models met the inclusion criteria. The 20 most attractive models were chosen by 40 lay people using a visual analog scale. Intraoral scans for 24 models with an average score of 5.8 or higher were done using a 3M Lava scanner (3M, St. Paul, MN). 3D facial scans were taken using a Canfield 3D facial scanner (Canfield Imaging Systems, Fairfield, NJ) in natural head position, both at smiling and at rest. The two scans were then combined using customized Mirror software. Inclusion criteria for the models: 1. Class I molar and canine occlusion 2. Crowding or spacing less than 3mm 3. OB and OJ between l.5-3mm 4. No missing teeth except for 3rd molars 5. No crossbite 6. No openbite 7. Age between 18 and 35 years Inclusion criteria for the laypeople: 1 - No medical or dental training 2-Age between 18 to 35 years 3-Acceptable vision and understanding to answer the survey [TRUNCATED]
Description
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Thesis (MSD) --Boston University, Henry M Goldman School of Dental Medicine, 2014 (Department of Orthodontics and Dentofacial Orthopedics).
Includes bibliographic references: leaves 64-73.
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This work is protected by copyright. Downloading is restricted to the BU community. If you are the author of this work and would like to make it publicly available, please contact open-help@bu.edu.