Quantitative comparison of planar coded aperture imaging reconstruction methods
نویسندگان
چکیده
Imaging distributions of radioactive sources plays a substantial role in nuclear medicine as well monitoring waste and its deposit. Coded Aperture has been proposed an alternative to parallel or pinhole collimators, but requires image reconstruction extra step. Multiple methods with varying run time computational complexity have proposed. Yet, no quantitative comparison between the different carried out so far. This paper focuses on based three sets hot-rod phantom images captured experimental Gamma-camera consisting Tungsten-based MURA mask 2mm thick 256x256 pixelated CdTe semiconductor detector coupled Timepix readout circuit. Analytical methods, Decoding, Wiener Filter convolutional Maximum Likelihood Expectation Maximization (MLEM) algorithm were compared data-driven Convolutional Encoder-Decoder (CED) approaches. The is contrast-to-noise ratio it previously used assess quality. For given set-up, most commonly CAI method, provides robust reconstructions despite assumption linear model. single reconstruction, however, MLEM performed best among analytical took longest average 13s time. fastest method 67ms mediocre CED specifically tailored training set was able succeed decoding by factor 1.37 2.60 around 300ms.
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ژورنال
عنوان ژورنال: Journal of Instrumentation
سال: 2023
ISSN: ['1748-0221']
DOI: https://doi.org/10.1088/1748-0221/18/01/p01006