Estimating the spectrum in computed tomography via Kullback–Leibler divergence constrained optimization

Purpose We study the problem of spectrum estimation from transmission data of a known phantom. The goal is to reconstruct an x‐ray spectrum that can accurately model the x‐ray transmission curves and reflects a realistic shape of the typical energy spectra of the CT system. Methods Spectrum estimati...

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Vydané v:	Medical physics (Lancaster) Ročník 46; číslo 1; s. 81 - 92
Hlavní autori:	Ha, Wooseok, Sidky, Emil Y., Barber, Rina Foygel, Schmidt, Taly Gilat, Pan, Xiaochuan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 01.01.2019
Predmet:	Algorithms exponentiated‐gradient algorithm Image Processing, Computer-Assisted KL divergence Models, Theoretical spectral calibration Tomography, X-Ray Computed - methods x‐ray spectrum EM KL divergence spectral calibration exponentiated-gradient algorithm x-ray spectrum
ISSN:	0094-2405, 2473-4209, 2473-4209
On-line prístup:	Získať plný text
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