Simulation of an imaging system for internal contamination of lungs using MPA-MURA coded aperture collimator
Ting Zhang, Lei Wang, Jing Ning, Wei Lu, Xiaofei Wang, Hai-wei Zhang,, Xian-guo Tuo

TL;DR
This study uses Monte Carlo simulations to evaluate MPA-MURA coded aperture collimators for lung contamination imaging, demonstrating higher detection efficiency but lower resolution compared to traditional methods, with promising potential for nuclear accident scenarios.
Contribution
It introduces a novel application of MPA-MURA coded aperture collimators for lung contamination imaging using Monte Carlo methods, highlighting improved detection efficiency.
Findings
Detection efficiency is two orders of magnitude higher than parallel-hole collimators.
Spatial resolution is lower than traditional parallel-hole imaging.
Potential for effective lung contamination detection in nuclear accidents.
Abstract
The nuclides inhaled during nuclear accidents usually cause internal contamination of the lungs with low activity. Although a parallel-hole imaging system, which is widely used in medical gamma cameras, has a high resolution and good image quality, owing to its extremely low detection efficiency, it remains difficult to obtain images of inhaled lung contamination. In this study, the Monte Carlo method was used to study the internal lung contamination imaging using the MPA-MURA coded-aperture collimator. The imaging system consisted of an adult male lung model, with a mosaicked, pattern-centered, and anti-symmetric MURA coded-aperture collimator model and a CsI(Tl) detector model. The MLEM decoding algorithm was used to reconstruct the internal contamination image, and the complementary imaging method was used to reduce the number of artifacts. The full width at half maximum of the I-131…
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Taxonomy
TopicsRadiation Detection and Scintillator Technologies · Nuclear Physics and Applications · Medical Imaging Techniques and Applications
