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Sean Simon

at Decision Sciences International Corp

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Proceedings Article | 29 May 2014 Paper

Muon tomography imaging improvement using optimized limited angle data

Chuanyong Bai, Sean Simon, Joel Kindem, Weidong Luo, Michael Sossong, Matthew Steiger

Proceedings Volume 9073, 907318 (2014) https://doi.org/10.1117/12.2049977

KEYWORDS: Muons, Tungsten, Image resolution, Reconstruction algorithms, Tomography, Data acquisition, Sensors, Expectation maximization algorithms, Image quality, Visualization

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Image resolution of muon tomography is limited by the range of zenith angles of cosmic ray muons and the flux rate at sea level. Low flux rate limits the use of advanced data rebinning and processing techniques to improve image quality. By optimizing the limited angle data, however, image resolution can be improved. To demonstrate the idea, physical data of tungsten blocks were acquired on a muon tomography system. The angular distribution and energy spectrum of muons measured on the system was also used to generate simulation data of tungsten blocks of different arrangement (geometry). The data were grouped into subsets using the zenith angle and volume images were reconstructed from the data subsets using two algorithms. One was a distributed PoCA (point of closest approach) algorithm and the other was an accelerated iterative maximal likelihood/expectation maximization (MLEM) algorithm. Image resolution was compared for different subsets. Results showed that image resolution was better in the vertical direction for subsets with greater zenith angles and better in the horizontal plane for subsets with smaller zenith angles. The overall image resolution appeared to be the compromise of that of different subsets. This work suggests that the acquired data can be grouped into different limited angle data subsets for optimized image resolution in desired directions. Use of multiple images with resolution optimized in different directions can improve overall imaging fidelity and the intended applications.

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