See It With Your Own Eyes: Markerless Mobile Augmented Reality for Radiation Awareness in the Hybrid Room

Rodas, Nicolas Loy; Barrera, Fernando; Padoy, Nicolas

doi:10.1109/tbme.2016.2560761

Cited by 21 publications

(3 citation statements)

References 36 publications

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“…We build upon these by demonstrating MR visualization in real-time, on a head mounted device, for both gamma ray and neutron detection. Recent developments for MR applications for general radiation protection education 32 and operating room radiation awareness 17 , 33 rely on transport calculations that are then translated to MR visuals - using real-time detector data may benefit from our proposed method and provide a more realistic representation of the radiation field. Our implementation is open source (see Code availability statement below) and based on a general 3D engine (Unity).…”

Section: Discussionmentioning

confidence: 99%

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Real-time mixed reality display of dual particle radiation detector data

Pakari

Lopez

Druckman

et al. 2023

Sci Rep

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Radiation source localization and characterization are challenging tasks that currently require complex analyses for interpretation. Mixed reality (MR) technologies are at the verge of wide scale adoption and can assist in the visualization of complex data. Herein, we demonstrate real-time visualization of gamma ray and neutron radiation detector data in MR using the Microsoft HoloLens 2 smart glasses, significantly reducing user interpretation burden. Radiation imaging systems typically use double-scatter events of gamma rays or fast neutrons to reconstruct the incidence directional information, thus enabling source localization. The calculated images and estimated ’hot spots’ are then often displayed in 2D angular space projections on screens. By combining a state-of-the-art dual particle imaging system with HoloLens 2, we propose to display the data directly to the user via the head-mounted MR smart glasses, presenting the directional information as an overlay to the user’s 3D visual experience. We describe an open source implementation using efficient data transfer, image calculation, and 3D engine. We thereby demonstrate for the first time a real-time user experience to display fast neutron or gamma ray images from various radioactive sources set around the detector. We also introduce an alternative source search mode for situations of low event rates using a neural network and simulation based training data to provide a fast estimation of the source’s angular direction. Using MR for radiation detection provides a more intuitive perception of radioactivity and can be applied in routine radiation monitoring, education & training, emergency scenarios, or inspections.

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Section: Discussionmentioning

confidence: 99%

“…MR has also been explored in in the domain of work safety in construction 16 , radiation protection training 17 – 19 , as well as collaborative maintenance and facility management 20 and city planning 21 . VR reconstructions of rooms with radiation sources have been used for remote inspections and source searches 22 .…”

Section: Introductionmentioning

confidence: 99%

Real-time mixed reality display of dual particle radiation detector data

Pakari

Lopez

Druckman

et al. 2023

Sci Rep

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“…An approach by Rodas et al . displayed the radiation intensity as a transparent color overlay in AR ( 9 ) . Rodas et al .…”

Section: The Development Of the Ar Appmentioning

confidence: 99%

A teaching concept for school experiments on radioactivity using augmented reality methods

Schuette,

Streuber,

Pottgiesser

et al. 2023

Radiation Protection Dosimetry

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Digital media are becoming increasingly influential in society, especially among the younger generation. Therefore, an augmented reality (AR) app was developed that simulates experiments with radioactive sources. The app runs experiments on the range and penetration power of alpha, beta and gamma radiation. It assigns virtual radiation sources, shielding materials or a detector to printed image markers, and superimposes their 3D images on the camera image. Alpha, beta and gamma radiation are clearly distinguishable by choosing different visualizations. The detector displays the measured count rates. At school, the app can be used in different ways. A concept for a teaching unit in Grade 10 was developed and tested in several classes based on a prototype of the app. The learning progress from the AR experiments was examined. Furthermore, an evaluation of the app was carried out. The most recent version of the app can be found here: https://seafile.projekt.uni-hannover.de/d/dd033aaaf5df4ec18362/

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Evaluation of occupational exposure to static magnetic field in MRI sites based on body pose estimation and SMF analytical computation

Belguerras

Kadkhodamohammadi

Delmas

et al. 2018

Bioelectromagnetics

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This paper tackles the problem of estimating exposure to static magnetic field (SMF) in magnetic resonance imaging (MRI) sites using a non-invasive approach. The proposed approach relies on a vision-based system to detect people's body parts and on a mathematical model to compute SMF exposure. A multi-view camera system was used to capture the MRI room, and a vision-based system was applied to detect body parts. The detected localization was then fed into a mathematical model to compute SMF exposure. In this study, we focused on exposure at the neck due to two main reasons. First, according to regulations, the limit of exposure at head and trunk for MR workers is higher than that for the general public. Second, it was easier to attach a dosimeter at the neck to perform measurements, which allowed a quantitative evaluation of our approach. This approach was applied to two scenarios simulating the daily movements of medical workers for which dosimeter measurements were also recorded. The results indicated that the proposed approach predicted occupational SMF exposure with reasonable accuracy compared with the dosimeter measurements. The proposed approach is a simple safe working procedure to estimate the exposure of MR workers at different parts of the body without wearing any marker detection. It can be applied to reduce occupational SMF exposure, without changes in workers' performances. For that reason, our non-invasive proposed method can be used as a simple safety tool to estimate occupational SMF exposure in MR sites. Bioelectromagnetics. 39:503-515, 2018.

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See It With Your Own Eyes: Markerless Mobile Augmented Reality for Radiation Awareness in the Hybrid Room

Abstract: The system enables the user to see the 3-D propagation of radiation, the medical staff's exposure, and/or the doses deposited on the patient's surface as seen through his own eyes.

Cited by 21 publications

References 36 publications

Real-time mixed reality display of dual particle radiation detector data

Real-time mixed reality display of dual particle radiation detector data

A teaching concept for school experiments on radioactivity using augmented reality methods

Evaluation of occupational exposure to static magnetic field in MRI sites based on body pose estimation and SMF analytical computation

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