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Towards AR-assisted visualisation and guidance for imaging of dental decay

Untreated dental decay is the most prevalent dental problem in the world, affecting up to 2.4 billion people and leading to a significant economic and social burden. Early detection can greatly mitigate irreversible effects of dental decay, avoiding the need for expensive restorative treatment that...

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Detalles Bibliográficos
Autores principales: Zhou, Yaxuan, Yoo, Paul, Feng, Yingru, Sankar, Aditya, Sadr, Alireza, Seibel, Eric J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Institution of Engineering and Technology 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6952244/
https://www.ncbi.nlm.nih.gov/pubmed/32038865
http://dx.doi.org/10.1049/htl.2019.0082
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author Zhou, Yaxuan
Yoo, Paul
Feng, Yingru
Sankar, Aditya
Sadr, Alireza
Seibel, Eric J.
author_facet Zhou, Yaxuan
Yoo, Paul
Feng, Yingru
Sankar, Aditya
Sadr, Alireza
Seibel, Eric J.
author_sort Zhou, Yaxuan
collection PubMed
description Untreated dental decay is the most prevalent dental problem in the world, affecting up to 2.4 billion people and leading to a significant economic and social burden. Early detection can greatly mitigate irreversible effects of dental decay, avoiding the need for expensive restorative treatment that forever disrupts the enamel protective layer of teeth. However, two key challenges exist that make early decay management difficult: unreliable detection and lack of quantitative monitoring during treatment. New optically based imaging through the enamel provides the dentist a safe means to detect, locate, and monitor the healing process. This work explores the use of an augmented reality (AR) headset to improve the workflow of early decay therapy and monitoring. The proposed workflow includes two novel AR-enabled features: (i) in situ visualisation of pre-operative optically based dental images and (ii) augmented guidance for repetitive imaging during therapy monitoring. The workflow is designed to minimise distraction, mitigate hand–eye coordination problems, and help guide monitoring of early decay during therapy in both clinical and mobile environments. The results from quantitative evaluations as well as a formative qualitative user study uncover the potentials of the proposed system and indicate that AR can serve as a promising tool in tooth decay management.
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spelling pubmed-69522442020-02-07 Towards AR-assisted visualisation and guidance for imaging of dental decay Zhou, Yaxuan Yoo, Paul Feng, Yingru Sankar, Aditya Sadr, Alireza Seibel, Eric J. Healthc Technol Lett Special Issue: Papers from the 13th Workshop on Augmented Environments for Computer Assisted Interventions Untreated dental decay is the most prevalent dental problem in the world, affecting up to 2.4 billion people and leading to a significant economic and social burden. Early detection can greatly mitigate irreversible effects of dental decay, avoiding the need for expensive restorative treatment that forever disrupts the enamel protective layer of teeth. However, two key challenges exist that make early decay management difficult: unreliable detection and lack of quantitative monitoring during treatment. New optically based imaging through the enamel provides the dentist a safe means to detect, locate, and monitor the healing process. This work explores the use of an augmented reality (AR) headset to improve the workflow of early decay therapy and monitoring. The proposed workflow includes two novel AR-enabled features: (i) in situ visualisation of pre-operative optically based dental images and (ii) augmented guidance for repetitive imaging during therapy monitoring. The workflow is designed to minimise distraction, mitigate hand–eye coordination problems, and help guide monitoring of early decay during therapy in both clinical and mobile environments. The results from quantitative evaluations as well as a formative qualitative user study uncover the potentials of the proposed system and indicate that AR can serve as a promising tool in tooth decay management. The Institution of Engineering and Technology 2019-11-26 /pmc/articles/PMC6952244/ /pubmed/32038865 http://dx.doi.org/10.1049/htl.2019.0082 Text en http://creativecommons.org/licenses/by/3.0/ This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
spellingShingle Special Issue: Papers from the 13th Workshop on Augmented Environments for Computer Assisted Interventions
Zhou, Yaxuan
Yoo, Paul
Feng, Yingru
Sankar, Aditya
Sadr, Alireza
Seibel, Eric J.
Towards AR-assisted visualisation and guidance for imaging of dental decay
title Towards AR-assisted visualisation and guidance for imaging of dental decay
title_full Towards AR-assisted visualisation and guidance for imaging of dental decay
title_fullStr Towards AR-assisted visualisation and guidance for imaging of dental decay
title_full_unstemmed Towards AR-assisted visualisation and guidance for imaging of dental decay
title_short Towards AR-assisted visualisation and guidance for imaging of dental decay
title_sort towards ar-assisted visualisation and guidance for imaging of dental decay
topic Special Issue: Papers from the 13th Workshop on Augmented Environments for Computer Assisted Interventions
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6952244/
https://www.ncbi.nlm.nih.gov/pubmed/32038865
http://dx.doi.org/10.1049/htl.2019.0082
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