Measurement and Calculation of Compton Spectrometer Response Function for 10–60-keV Monoenergetic Photons

Mohammadi, Akram; Baba, Mamoru; Oishi, T.; Yamaguchi, Youichi; Hagiwara, Masayuki

doi:10.3327/jnst.47.570

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…Electron Gamma Shower Version 5 (EGS5) [ 22 ] is incorporated for photon and electron transport in PHITS. Their transport in EGS5 was confirmed [ 23 , 24 ]. This validation ensured that FDEIR has a plausible transport model and no need for electron transport.…”

Section: Methodsmentioning

confidence: 91%

Fast skin dose estimation system for interventional radiology

Takata

Kotoku

Maejima

et al. 2017

Journal of Radiation Research

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To minimise the radiation dermatitis related to interventional radiology (IR), rapid and accurate dose estimation has been sought for all procedures. We propose a technique for estimating the patient skin dose rapidly and accurately using Monte Carlo (MC) simulation with a graphical processing unit (GPU, GTX 1080; Nvidia Corp.). The skin dose distribution is simulated based on an individual patient’s computed tomography (CT) dataset for fluoroscopic conditions after the CT dataset has been segmented into air, water and bone based on pixel values. The skin is assumed to be one layer at the outer surface of the body. Fluoroscopic conditions are obtained from a log file of a fluoroscopic examination. Estimating the absorbed skin dose distribution requires calibration of the dose simulated by our system. For this purpose, a linear function was used to approximate the relation between the simulated dose and the measured dose using radiophotoluminescence (RPL) glass dosimeters in a water-equivalent phantom. Differences of maximum skin dose between our system and the Particle and Heavy Ion Transport code System (PHITS) were as high as 6.1%. The relative statistical error (2 σ) for the simulated dose obtained using our system was ≤3.5%. Using a GPU, the simulation on the chest CT dataset aiming at the heart was within 3.49 s on average: the GPU is 122 times faster than a CPU (Core i7–7700K; Intel Corp.). Our system (using the GPU, the log file, and the CT dataset) estimated the skin dose more rapidly and more accurately than conventional methods.

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Section: Methodsmentioning

confidence: 91%

Fast skin dose estimation system for interventional radiology

Takata

Kotoku

Maejima

et al. 2017

Journal of Radiation Research

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“…We chose PHITS version 2.93 [16] as a reference to verify the FDEIR simulation. As a typical Monte Carlo dose simulation code, PHITS incorporates Electron Gamma Shower version 5 (EGS5) [17], for which photon and electron transport have been well established [18,19].…”

Section: Verification Of Fdeir Air Dose Estimationmentioning

confidence: 99%

Immersive Radiation Experience for Interventional Radiology with Virtual Reality Radiation Dose Visualization Using Fast Monte Carlo Dose Estimation

Takata

Kondo

Yamamoto

et al. 2020

Interventional Radiology

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For interventional radiology (IR), understanding the precise dose distribution is crucial to reduce the risks of radiation dermatitis to patients and staff. Visualization of dose distribution is expected to support radiation safety efforts immensely. This report presents techniques for perceiving the dose distribution using virtual reality (VR) technology and for estimating the air dose distribution accurately using Monte Carlo simulation for VR dose visualization. We adopted an earlier reported Monte-Carlo-based estimation system for IR and simulated the dose in a geometrical area resembling an IR room with fluoroscopic conditions. Users of our VR system experienced a simulated air dose distribution in the IR room while the irradiation angle, irradiation timing, and lead shielding were controlled. The estimated air dose was evaluated through comparison with measurements taken using a radiophotoluminescence glass dosimeter. Our dose estimation results were consistent with dosimeter readings, showing a 13.5% average mutual difference. The estimated air dose was visualized in VR: users could view a virtual IR room and walk around in it. Using our VR system, users experienced dose distribution changes dynamically with C-arm rotation. Qualitative tests were conducted to evaluate the workload and usability of our VR system. The perceived overall workload score (18.00) was lower than the scores reported in the literature for medical tasks (50.60) and computer activities (54.00). This VR visualization is expected to open new horizons for understanding dose distributions intuitively, thereby aiding the avoidance of radiation injury.

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