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Current and Future Photography Techniques in Aesthetic Surgery

BACKGROUND: The rapidly increasing modalities and mediums of clinical photography, use of 3-dimensional (3D) and 4-dimensional (4D) patient modeling, and widening implementation of cloud-based storage and artificial intelligence (AI) call for an overview of various methods currently in use as well a...

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Autores principales: Parsa, Shyon, Basagaoglu, Berkay, Mackley, Kate, Aitson, Patricia, Kenkel, Jeffrey, Amirlak, Bardia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8830310/
https://www.ncbi.nlm.nih.gov/pubmed/35156020
http://dx.doi.org/10.1093/asjof/ojab050
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author Parsa, Shyon
Basagaoglu, Berkay
Mackley, Kate
Aitson, Patricia
Kenkel, Jeffrey
Amirlak, Bardia
author_facet Parsa, Shyon
Basagaoglu, Berkay
Mackley, Kate
Aitson, Patricia
Kenkel, Jeffrey
Amirlak, Bardia
author_sort Parsa, Shyon
collection PubMed
description BACKGROUND: The rapidly increasing modalities and mediums of clinical photography, use of 3-dimensional (3D) and 4-dimensional (4D) patient modeling, and widening implementation of cloud-based storage and artificial intelligence (AI) call for an overview of various methods currently in use as well as future considerations in the field. OBJECTIVES: Through a close look at the methods used in aesthetic surgery photography, clinicians will be able to select the modality best suited to their practice and goals. METHODS: Review and discussion of current data pertaining to: 2-dimensional (2D) and 3D clinical photography, current photography software, augmented reality reconstruction, AI photography, and cloud-based storage. RESULTS: Important considerations for current image capture include a device with a gridded viewing screen and high megapixel resolution, a tripod with leveling base, studio lighting with dual-sourced light, standardized matte finish background, and consistency in patient orientation. Currently, 3D and 4D photography devices offer advantages such as improved communication to the patient on outcome expectation and better quality of patient service and safety. AI may contribute to post-capture processing and 3D printing of postoperative outcomes. Current smartphones distort patient perceptions about their appearance and should be used cautiously in an aesthetic surgery setting. Cloud-based storage provides flexibility, cost, and ease of service while remaining vulnerable to data breaches. CONCLUSIONS: While there are advancements to be made in the physical equipment and preparation for the photograph, the future of clinical photography will be heavily influenced by innovations in software and 3D and 4D modeling of outcomes.
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spelling pubmed-88303102022-02-11 Current and Future Photography Techniques in Aesthetic Surgery Parsa, Shyon Basagaoglu, Berkay Mackley, Kate Aitson, Patricia Kenkel, Jeffrey Amirlak, Bardia Aesthet Surg J Open Forum Cosmetic Medicine BACKGROUND: The rapidly increasing modalities and mediums of clinical photography, use of 3-dimensional (3D) and 4-dimensional (4D) patient modeling, and widening implementation of cloud-based storage and artificial intelligence (AI) call for an overview of various methods currently in use as well as future considerations in the field. OBJECTIVES: Through a close look at the methods used in aesthetic surgery photography, clinicians will be able to select the modality best suited to their practice and goals. METHODS: Review and discussion of current data pertaining to: 2-dimensional (2D) and 3D clinical photography, current photography software, augmented reality reconstruction, AI photography, and cloud-based storage. RESULTS: Important considerations for current image capture include a device with a gridded viewing screen and high megapixel resolution, a tripod with leveling base, studio lighting with dual-sourced light, standardized matte finish background, and consistency in patient orientation. Currently, 3D and 4D photography devices offer advantages such as improved communication to the patient on outcome expectation and better quality of patient service and safety. AI may contribute to post-capture processing and 3D printing of postoperative outcomes. Current smartphones distort patient perceptions about their appearance and should be used cautiously in an aesthetic surgery setting. Cloud-based storage provides flexibility, cost, and ease of service while remaining vulnerable to data breaches. CONCLUSIONS: While there are advancements to be made in the physical equipment and preparation for the photograph, the future of clinical photography will be heavily influenced by innovations in software and 3D and 4D modeling of outcomes. Oxford University Press 2021-11-29 /pmc/articles/PMC8830310/ /pubmed/35156020 http://dx.doi.org/10.1093/asjof/ojab050 Text en © 2021 The Aesthetic Society. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Cosmetic Medicine
Parsa, Shyon
Basagaoglu, Berkay
Mackley, Kate
Aitson, Patricia
Kenkel, Jeffrey
Amirlak, Bardia
Current and Future Photography Techniques in Aesthetic Surgery
title Current and Future Photography Techniques in Aesthetic Surgery
title_full Current and Future Photography Techniques in Aesthetic Surgery
title_fullStr Current and Future Photography Techniques in Aesthetic Surgery
title_full_unstemmed Current and Future Photography Techniques in Aesthetic Surgery
title_short Current and Future Photography Techniques in Aesthetic Surgery
title_sort current and future photography techniques in aesthetic surgery
topic Cosmetic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8830310/
https://www.ncbi.nlm.nih.gov/pubmed/35156020
http://dx.doi.org/10.1093/asjof/ojab050
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