scholarly journals Mixed Reality Visualization of Radiation Dose for Health Professionals and Patients in Interventional Radiology

2021 ◽  
Vol 45 (4) ◽  
Author(s):  
Takeshi Takata ◽  
Susumu Nakabayashi ◽  
Hiroshi Kondo ◽  
Masayoshi Yamamoto ◽  
Shigeru Furui ◽  
...  

AbstractFor interventional radiology, dose management has persisted as a crucially important issue to reduce radiation exposure to patients and medical staff. This study designed a real-time dose visualization system for interventional radiology designed with mixed reality technology and Monte Carlo simulation. An earlier report described a Monte-Carlo-based estimation system, which simulates a patient’s skin dose and air dose distributions, adopted for our system. We also developed a system of acquiring fluoroscopic conditions to input them into the Monte Carlo system. Then we combined the Monte Carlo system with a wearable device for three-dimensional holographic visualization. The estimated doses were transferred sequentially to the device. The patient’s dose distribution was then projected on the patient body. The visualization system also has a mechanism to detect one’s position in a room to estimate the user’s exposure dose to detect and display the exposure level. Qualitative tests were conducted to evaluate the workload and usability of our mixed reality system. An end-to-end system test was performed using a human phantom. The acquisition system accurately recognized conditions that were necessary for real-time dose estimation. The dose hologram represents the patient dose. The user dose was changed correctly, depending on conditions and positions. The perceived overall workload score (33.50) was lower than the scores reported in the literature for medical tasks (50.60) for computer activities (54.00). Mixed reality dose visualization is expected to improve exposure dose management for patients and health professionals by exhibiting the invisible radiation exposure in real space.

2020 ◽  
Author(s):  
Takakiyo Tsujiguchi ◽  
Yoko Suzuki ◽  
Mizuki Sakamoto ◽  
Kazuki Narumi ◽  
Katsuhiro Ito ◽  
...  

Abstract Emergency medical responders (EMRs), who save victims in a radiation emergency, are at risk of radiation exposure. In this study, the exposure dose to EMRs assisting contaminated patients was estimated using a Monte Carlo simulation, and will produce data that contributes to EMR education and anxiety reduction. Using the Monte Carlo simulation, we estimated radiation doses for adult computational phantoms with radioactive contamination conditions radiation dosages were based on findings from previous studies. At the contamination condition corresponding to the typical upper limit of general GM survey meters, the radiation doses of EMRs were estimated to be less than μSv per hour. In case of a heavier contamination due to mishandling of an intense radioactive source with hundreds of GBq or more, their radiation doses would be close to 100 mSv per hour. The results have implied that the radiological accident with a highly radioactive source would expose EMR to the risk of significant radiation exposure exceeding the dose limit. It is thus crucial that the authority or other party who are responsible for the health of EMRs ensures that they shall have necessary education and training on the effective measures for protecting themselves from the possible, excessive radiation exposure.


2014 ◽  
Vol 25 (1) ◽  
pp. 119-126 ◽  
Author(s):  
John Racadio ◽  
Rami Nachabe ◽  
Bart Carelsen ◽  
Judy Racadio ◽  
Nicole Hilvert ◽  
...  

2020 ◽  
Vol 190 (1) ◽  
pp. 58-65
Author(s):  
Yi Guo ◽  
Li Mao ◽  
Gongsen Zhang ◽  
Zhi Chen ◽  
Xi Pei ◽  
...  

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.


2017 ◽  
Vol 175 (4) ◽  
pp. 517-522 ◽  
Author(s):  
Yoshiyuki Hosokai ◽  
Kenki Matsumoto ◽  
Masataka Kozakai ◽  
Kaito Takahashi ◽  
Akihito Usui ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Takakiyo Tsujiguchi ◽  
Yoko Suzuki ◽  
Mizuki Sakamoto ◽  
Kazuki Narumi ◽  
Katsuhiro Ito ◽  
...  

AbstractEmergency medical responders (EMRs) who treat victims during a radiation emergency are at risk of radiation exposure. In this study, the exposure dose to EMRs treating hypothetically contaminated patients was estimated using a Monte Carlo simulation, and the findings may be useful for educating EMRs and reducing their anxiety. The Monte Carlo simulation estimated radiation doses for adult computational phantoms based on radioactive contamination conditions and radiation dosages from previous studies. At contamination conditions below the typical upper limit of general Geiger–Müller survey meters, the radiation doses to EMRs were estimated to be less than 1 μSv per hour. In cases with greater contamination due to mishandling of an intense radioactive source (hundreds of GBq), the radiation doses to EMRs could reach approximately 100 mSv per hour. These results imply that a radiological accident with a highly radioactive source could expose EMR to significant radiation that exceeds their dose limit. Thus, authorities and other parties should ensure that EMRs receive appropriate education and training regarding measures that can be taken to protect themselves from the possibility of excessive radiation exposure. The results of this study may provide EMRs with information to take appropriate protective measures, although it is also important that they not hesitate to perform lifesaving measures because of concerns regarding radiation.


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