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A novel method for fast image simulation of flat panel detectors

Year: 2019
Type: article
Abstract: We have developed a novel method for fast image simulation of flat panel detectors, based on the photon energy deposition efficiency and the optical spread function (OSF). The proposed method, FastEPID, determines the photon detection using photon energy deposition and replaces particle transport within the detector with precalculated OSFs. The FastEPID results are validated against experimental measurement and conventional Monte Carlo simulation in terms of modulation transfer function (MTF), signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), contrast, and relative difference of pixel value, obtained with a slanted slit image, Las Vegas phantom, and anthropomorphic pelvis phantom. Excellent agreement is observed between simulation and measurement in all cases. Without degrading image quality, the FastEPID method is capable of reducing simulation time up to a factor of 150. Multiple applications, such as imager design optimization for planar and volumetric imaging, are expected to benefit from the implementation of the FastEPID method.
DOI: 10.1088/1361-6560/ab12aa
Authors: Mengying Shi, Marios Myronakis, Yue-Houng Hu, Matthew Jacobson, Mathias Lehmann, Rony Fueglistaller, Pascal Huber, Paul Baturin, Adam Wang, Dianne Ferguson, Thomas Harris, Daniel Morf, Ross Berbeco
Institutions: Brigham and Women's Hospital, University of Massachusetts Lowell, Harvard University, Dana-Farber Cancer Institute, Dana-Farber Brigham Cancer Center, Varian Medical Systems (Switzerland), Varian Medical Systems (United States)
Language: English
Field: Medicine
Open Access status: bronze
OpenAlex ID: W2942715559
FWCI: 1.472
Cites: 34
Cited by: 16
Related to: 10