Evaluation of an Analytic Reconstruction Method as a Platform for Spectral CT

Huihua Kong, Rui Liu, Hengyong Yu


Published in: Fully3D 2017 Proceedings


spectral CT, spiral CBCT, adaptive MAP, weighted FDK
The goal of this paper is to evaluate an analytic spiral cone-beam CT (CBCT) algorithm for spectral CT to provide a fair comparison platform for the state-of-the-art iterative reconstruction algorithms. Considering the fact that a narrow energy channel has high noise which degrades the imaging quality of spectral CT, an adaptive maximum a posterior (MAP) sinogram restoration algorithm is first used to reduce the noise and then a three dimensional weighted Feldkamp-Davis-Kress (FDK) algorithm is implemented to reconstruct the spectral CT images at different energy channels. Our numerical results show that the analytic reconstruction approach is fast and it can provide high spatial resolution, high contrast resolution and high signal-noise-ratio (SNR) with higher helical pitches. This makes it possible to serve as a platform to evaluate the state-of-the-art iterative spectral CT algorithms.
Huihua Kong
North University of China
Rui Liu
University of Massachusetts Lowell
Hengyong Yu
University of Massachusetts Lowell
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