Jablonski, RY orcid.org/0000-0001-5034-9831, Malhotra, T, Coward, TJ et al. (5 more authors) (2024) Digital database for nasal prosthesis design with a 3D morphable face model approach. Journal of Prosthetic Dentistry, 131 (6). pp. 1271-1275. ISSN 0022-3913
Abstract
Designing nasal prostheses can be challenging because of the unpaired nature of the facial feature, especially in patients lacking preoperative information. Various nose model databases have been developed as a helpful starting point for the computer-aided design of nasal prostheses, but these do not appear to be readily accessible. Therefore, an open-access digital database of nose models has been generated based on a 3-dimensional (3D) morphable face model approach. This article describes the generation of the database, highlights steps for designing a nasal prosthesis, and points readers to the database for future clinical application and research.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2023 The Authors. Published by Elsevier Inc. on behalf of the Editorial Council of The Journal of Prosthetic Dentistry. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Dentistry (Leeds) > Applied Health and Clinical Translation (Leeds) The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Dentistry (Leeds) > Restorative Dentistry (Leeds) The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Health Sciences (Leeds) > Academic Unit of Health Economics (Leeds) |
Funding Information: | Funder Grant number NIHR National Inst Health Research NIHR Ref NIHR300235 |
Depositing User: | Symplectic Publications |
Date Deposited: | 21 Mar 2023 14:11 |
Last Modified: | 24 Feb 2025 11:44 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.prosdent.2023.02.019 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:197531 |