Literature DB >> 32501514

CONCEPTUAL DESIGN AND PRELIMINARY RESULTS OF A VR-BASED RADIATION SAFETY TRAINING SYSTEM FOR INTERVENTIONAL RADIOLOGISTS.

Yi Guo1, Li Mao2, Gongsen Zhang1, Zhi Chen1, Xi Pei1, X George Xu1,2.   

Abstract

To help minimise occupational radiation exposure in interventional radiology, we conceptualised a virtual reality-based radiation safety training system to help operators understand complex radiation fields and to avoid high radiation areas through game-like interactive simulations. The preliminary development of the system has yielded results suggesting that the training system can calculate and report the radiation exposure after each training session based on a database precalculated from computational phantoms and Monte Carlo simulations and the position information provided by the Microsoft HoloLens headset. In addition, real-time dose rate and cumulative dose will be displayed to the trainee to help them adjust their practice. This paper presents the conceptual design of the overall hardware and software design, as well as preliminary results to combine HoloLens headset and complex 3D X-ray field spatial distribution data to create a mixed reality environment for safety training purpose in interventional radiology.
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Mesh:

Year:  2020        PMID: 32501514     DOI: 10.1093/rpd/ncaa082

Source DB:  PubMed          Journal:  Radiat Prot Dosimetry        ISSN: 0144-8420            Impact factor:   0.972


  2 in total

1.  Estimating Compton scatter distributions with a regressional neural network for use in a real-time staff dose management system for fluoroscopic procedures.

Authors:  J Troville; S Rudin; D R Bednarek
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2021-02-15

2.  Using a convolutional neural network for human recognition in a staff dose management software for fluoroscopic interventional procedures.

Authors:  J Troville; R S Dhonde; S Rudin; D R Bednarek
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2021-02-15
  2 in total

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