1 April 2016 X-ray spectrum estimation from transmission measurements by an exponential of a polynomial model
Author Affiliations +
Abstract
There has been much recent research effort directed toward spectral computed tomography (CT). An important step in realizing spectral CT is determining the spectral response of the scanning system so that the relation between material thicknesses and X-ray transmission intensity is known. We propose a few parameter spectrum model that can accurately model the X-ray transmission curves and has a form which is amenable to simultaneous spectral CT image reconstruction and CT system spectrum calibration. While the goal is to eventually realize the simultaneous image reconstruction/spectrum estimation algorithm, in this work we investigate the effectiveness of the model on spectrum estimation from simulated transmission measurements through known thicknesses of known materials. The simulated transmission measurements employ a typical X-ray spectrum used for CT and contain noise due to the randomness in detecting finite numbers of photons. The proposed model writes the X-ray spectrum as the exponential of a polynomial (EP) expansion. The model parameters are obtained by use of a standard software implementation of the Nelder-Mead simplex algorithm. The performance of the model is measured by the relative error between the predicted and simulated transmission curves. The estimated spectrum is also compared with the model X-ray spectrum. For reference, we also employ a polynomial (P) spectrum model and show performance relative to the proposed EP model.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Boris Perkhounkov, Boris Perkhounkov, Jessika Stec, Jessika Stec, Emil Y. Sidky, Emil Y. Sidky, Xiaochuan Pan, Xiaochuan Pan, } "X-ray spectrum estimation from transmission measurements by an exponential of a polynomial model", Proc. SPIE 9783, Medical Imaging 2016: Physics of Medical Imaging, 97834W (1 April 2016); doi: 10.1117/12.2217100; https://doi.org/10.1117/12.2217100
PROCEEDINGS
4 PAGES


SHARE
Back to Top