Towards AR-assisted visualisation and guidance for imaging of dental decay.
augmented guidance
augmented reality
data visualisation
dentistry
early decay management difficult
early decay therapy
enamels
expensive restorative treatment
help guide monitoring
irreversible effects
medical image processing
mitigate hand–eye coordination problems
patient treatment
pre-operative optically based dental images
prevalent dental problem
quantitative monitoring
repetitive imaging
significant economic burden
situ visualisation
social burden
therapy monitoring
tooth decay management
unreliable detection
untreated dental decay
Journal
Healthcare technology letters
ISSN: 2053-3713
Titre abrégé: Healthc Technol Lett
Pays: England
ID NLM: 101646459
Informations de publication
Date de publication:
Dec 2019
Dec 2019
Historique:
received:
19
09
2019
accepted:
02
10
2019
entrez:
11
2
2020
pubmed:
11
2
2020
medline:
11
2
2020
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 32038865
doi: 10.1049/htl.2019.0082
pii: HTL.2019.0082
pmc: PMC6952244
doi:
Types de publication
Journal Article
Langues
eng
Pagination
243-248Références
Sensors (Basel). 2019 Mar 22;19(6):
pubmed: 30909442
Ann Biomed Eng. 2016 Jan;44(1):16-34
pubmed: 26577253
J Healthc Eng. 2017;2017:7560645
pubmed: 29065642
Med Biol Eng Comput. 2019 Jan;57(1):47-57
pubmed: 29967935
Med Image Comput Comput Assist Interv. 2012;15(Pt 2):601-8
pubmed: 23286098
Clin Implant Dent Relat Res. 2015 Jun;17(3):543-53
pubmed: 23879701
IEEE Trans Vis Comput Graph. 2017 Nov;23(11):2463-2473
pubmed: 28809690
Int J Oral Maxillofac Surg. 2019 Jan;48(1):132-139
pubmed: 30316662
World J Radiol. 2014 Oct 28;6(10):794-807
pubmed: 25349663
J Dent Res. 2015 May;94(5):650-8
pubmed: 25740856
Int J Comput Assist Radiol Surg. 2015 Jan;10(1):101-8
pubmed: 24771315
Int J Dent. 2010;2010:270729
pubmed: 20454579
J Dent Res. 2018 Feb;97(2):125-127
pubmed: 29355470
Adv Dent Res. 2018 Feb;29(1):24-34
pubmed: 29355412
Lasers Surg Med. 2019 Feb 27;:
pubmed: 30810236
Biomed Opt Express. 2011 Oct 1;2(10):2804-14
pubmed: 22025986
J Biomed Opt. 2013 Nov;18(11):111412
pubmed: 23986369
BMC Oral Health. 2019 Jul 8;19(1):135
pubmed: 31286904
Lasers Surg Med. 2013 Oct;45(8):533-41
pubmed: 23857066
J Laparoendosc Adv Surg Tech A. 1999 Dec;9(6):469-80
pubmed: 10632507
J Dent Anesth Pain Med. 2017 Jun;17(2):129-134
pubmed: 28879340
J Dent Res. 2017 Apr;96(4):380-387
pubmed: 28792274
Pediatr Dent. 2016 Nov 15;38(7):511-518
pubmed: 28281957
BMC Oral Health. 2018 Mar 6;18(1):30
pubmed: 29510696
J Biomed Opt. 2006 May-Jun;11(3):34023
pubmed: 16822072