Development of an application to visualise the spread of scattered radiation in radiography using augmented reality.


Journal

Journal of radiological protection : official journal of the Society for Radiological Protection
ISSN: 1361-6498
Titre abrégé: J Radiol Prot
Pays: England
ID NLM: 8809257

Informations de publication

Date de publication:
11 Nov 2020
Historique:
received: 29 06 2020
accepted: 14 10 2020
pubmed: 15 10 2020
medline: 27 1 2022
entrez: 14 10 2020
Statut: epublish

Résumé

As radiation is widely used in medical institutions, the lack of radiation protection education for health workers increases the risk of radiation exposure. The purpose of this study is to develop an application for radiation medical personnel that visualises the distribution of scattered radiation by using augmented reality (AR). The irradiation conditions for mobile chest and pelvic radiography were simulated using Monte Carlo simulations (Particle and Heavy Ion Transport code System). Monte Carlo results were verified using physical measurements. The behaviour of scattered radiation was displayed three-dimensionally in virtual reality using ParaView. Subsequently, an application to visualise scattered rays was developed in Unity for tablet devices. An application with a sense of reality was developed by visualising the scattered radiation distribution of a mobile imaging in a real space in AR in a three-dimensional size, which is close to the actual size. The radiation dose could be estimated at any position and the behaviour of scattered radiation became easier to understand.

Identifiants

pubmed: 33053525
doi: 10.1088/1361-6498/abc14b
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2020 Society for Radiological Protection. Published on behalf of SRP by IOP Publishing Limited. All rights reserved.

Auteurs

Kazuki Nishi (K)

Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.

Toshioh Fujibuchi (T)

Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.

Takashi Yoshinaga (T)

Institute of Systems, Information Technologies and Nanotechnologies (ISIT), Fukuoka, Japan.

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Classifications MeSH