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Digital database of nose models for nasal prosthesis design generated with 3D morphable face model approach

Citation

Jablonski, Rachael Y. and Bojke, Chris and Pavitt, Sue H. and Nattress, Brian R. and Keeling, Andrew J. (2023) Digital database of nose models for nasal prosthesis design generated with 3D morphable face model approach. University of Leeds. [Dataset] https://doi.org/10.5518/1228

Dataset description

Designing nasal prostheses can be challenging due to the unpaired nature of the facial feature which precludes the use of mirroring techniques. It can be particularly difficult to accurately replace the missing tissue when preoperative information about the previous anatomy is unavailable or inadequate. In such situations, a database of nose models could act as a helpful starting point for the computer-aided design of a nasal prosthesis. Various digital nose model libraries are described in the literature based upon the facial scans of volunteers or anatomic casts. However, these libraries do not appear to be readily accessible to researchers or clinicians. Therefore, an open-access digital database of nose models has been generated based upon a 3D Morphable Face Model approach. This database comprises a manageable number of 44 simple, well-behaved nose meshes with standardized alignment that are ideal for computer-aided design.

Keywords: Maxillofacial Prosthesis; Nasal Prosthesis; Computer-Aided Design; 3D Morphable Model
Subjects: A000 - Medicine & dentistry
Divisions: Faculty of Medicine and Health > School of Dentistry
Related resources:
LocationType
https://doi.org/10.1016/j.prosdent.2023.02.019Publication
https://eprints.whiterose.ac.uk/197531/Publication
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited: 27 Mar 2023 12:02
URI: https://archive.researchdata.leeds.ac.uk/id/eprint/1084

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