Development of Augmented Reality-Based Radiation Protection Application for Healthcare Professionals

被引:0
|
作者
Matsumoto, Shinnosuke [1 ]
Shinsho, Kiyomitsu [1 ]
Eisuke, Kondo [1 ]
Tanaka, Yuhi [1 ]
Ito, Yuko [1 ]
Nishimura, Yumi [1 ]
机构
[1] Tokyo Metropolitan Univ, Fac Hlth Sci, 7-2-10 Higashi Ogu,Arakawa Ku, Tokyo, Japan
来源
关键词
Augmented Reality; Radiation Protection; Monte Carlo; Education;
D O I
10.14407/jrpr.2024.00052
中图分类号
TL [原子能技术]; O571 [原子核物理学];
学科分类号
0827 ; 082701 ;
摘要
Background: Radiodiagnosis is widely performed in medical institutions. All medical professionals, including nurses, are at risk of radiation exposure. This study developed an educational application for radiation medical professionals to visualize the distribution of scattered radiation using augmented reality. Materials and Methods: A Monte Carlo simulation code was used to simulate mobile chest and abdominal radiography. The calculation results were incorporated into an augmented reality application. The results of the Monte Carlo calculations were validated by comparing them with radiation measurements. An augmented reality application for tablet devices was developed in Unity that visualizes the scattered radiation dose. Results and Discussion: The application was developed by visualizing the distribution of scattered radiation in mobile radiography in augmented reality in three-dimensional real space. The calculation results were validated, and the error between the displayed radiation dose values and the measured radiation dose values was generally less than 10%. Conclusion: The developed application allows users to overlay quantitative values of imperceptible radiation exposure doses onto any real-world environment. This enables users to intuitively understand the relationship between the distance from a radiation source and the received dose, thereby contributing to a better understanding of radiation protection in clinical settings.
引用
收藏
页码:114 / 120
页数:7
相关论文
共 50 条
  • [41] Augmented reality-based training system for metal casting
    Keiichi Watanuki
    Lei Hou
    Journal of Mechanical Science and Technology, 2010, 24 : 237 - 240
  • [42] Integrating Assessment into Augmented Reality-Based Learning Environments
    Ibanez, Maria-Blanca
    Villaran, Diego
    Delgado-Kloos, Carlos
    15TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES (ICALT 2015), 2015, : 218 - 222
  • [43] MARA - A mobile augmented reality-based virtual assistant
    Schmeil, Andreas
    Broll, Wolfgang
    IEEE VIRTUAL REALITY 2007, PROCEEDINGS, 2007, : 267 - +
  • [44] Assessing performance of augmented reality-based neurosurgical training
    Wei-Xin Si
    Xiang-Yun Liao
    Yin-Ling Qian
    Hai-Tao Sun
    Xiang-Dong Chen
    Qiong Wang
    Pheng Ann Heng
    Visual Computing for Industry, Biomedicine, and Art, 2
  • [45] AREL - Augmented Reality-based enriched learning experience
    Geetha, A. V.
    Mala, T.
    ACTA IMEKO, 2022, 11 (03):
  • [46] Augmented Reality-Based Interface for Bimanual Robot Teleoperation
    Garcia, Alberto
    Solanes, J. Ernesto
    Munoz, Adolfo
    Gracia, Luis
    Tornero, Josep
    APPLIED SCIENCES-BASEL, 2022, 12 (09):
  • [47] Augmented Reality-Based Learning Systems: Personalisation Framework
    Kurilovas, Eugenijus
    Dvareckiene, Viktorija
    Jevsikova, Tatjana
    PROCEEDINGS OF THE 15TH EUROPEAN CONFERENCE ON E-LEARNING (ECEL 2016), 2016, : 391 - 398
  • [48] Augmented Reality-Based Lung Ultrasound Scanning Guidance
    Bimbraw, Keshav
    Ma, Xihan
    Zhang, Ziming
    Zhang, Haichong
    MEDICAL ULTRASOUND, AND PRETERM, PERINATAL AND PAEDIATRIC IMAGE ANALYSIS, ASMUS 2020, PIPPI 2020, 2020, 12437 : 106 - 115
  • [49] Assessing performance of augmented reality-based neurosurgical training
    Si, Wei-Xin
    Liao, Xiang-Yun
    Qian, Yin-Ling
    Sun, Hai-Tao
    Chen, Xiang-Dong
    Wang, Qiong
    Heng, Pheng Ann
    VISUAL COMPUTING FOR INDUSTRY BIOMEDICINE AND ART, 2019, 2 (01)
  • [50] Augmented reality-based facility maintenance management system
    Fan, Su-Ling
    Ong, Wei-San
    Wu, Chun-Tin
    Matheu, Nuria Forcada
    Alavi, Hamidreza
    FACILITIES, 2023, 41 (13/14) : 769 - 800