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1 April 2024 Optimal weighting strategies for maximizing contrast-to-noise ratio in photon counting CT images
Yirong Yang, Sen Wang, Grant Stevens, Jiahua Fan, Adam S. Wang
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Proceedings Volume 12925, Medical Imaging 2024: Physics of Medical Imaging; 1292502 (2024) https://doi.org/10.1117/12.3006847
Event: SPIE Medical Imaging, 2024, San Diego, California, United States
Abstract
Photon counting detectors (PCDs) with energy discrimination capabilities enable spectral imaging and provide higher contrast-to-noise ratio (CNR) than energy integrating detectors (EIDs). Previous work has shown that optimal weighting strategies can further improve CNR. However, a systematic comparison of different weighting strategies and their maximum achievable CNR has not been investigated. In this work, we derive the analytical expressions of the maximum achievable CNR using pre-log optimal weights, post-log optimal weights, and optimal virtual monoenergetic (VM) weights for realistic PCD energy responses and imaging tasks. We compare the CNR performance of these weighting strategies using simulated phantoms and a physical phantom scan for low-contrast tasks. Our results show that for spectral tasks, pre-log optimal weights, post-log optimal weights, and optimal VM weights achieve approximately equal maximum CNR (to within 2% of each other) and outperform total count (TC) images.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Yirong Yang, Sen Wang, Grant Stevens, Jiahua Fan, and Adam S. Wang "Optimal weighting strategies for maximizing contrast-to-noise ratio in photon counting CT images", Proc. SPIE 12925, Medical Imaging 2024: Physics of Medical Imaging, 1292502 (1 April 2024); https://doi.org/10.1117/12.3006847
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KEYWORDS
Photon counting
Computed tomography
Silicon
Covariance matrices
Calcium
Iodine
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