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Proceedings Paper

Comparison studies of different regularizers for spectral computed tomography
Author(s): Morteza Salehjahromi; Yanbo Zhang; Hengyong Yu
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Paper Abstract

The development of energy-resolving photon-counting detectors makes it possible to collect data in different energy bins. These detectors lead to emerging spectral computed tomography (CT), which is also called multi-energy CT, energy-selective CT, color CT, etc. Spectral CT can provide additional information in comparison with conventional CT in which energy integrating detectors are used to form polychromatic projection of an object being investigated. The photon counting detectors in spectral CT can acquire projections of the object in different energy levels as they are able to reliably distinguish the received photon energies. In recent years, different methods have been developed to acquire additional information hidden in different energy levels of spectral CT images. Different regularization methods have been adopted for reconstructing the noisy image in the last decade. In this work, we numerically evaluate the performance of different regularizers such as total variation, Huber, non-local means and anisotropic diffusion regularization in spectral CT. The goal is to provide some practical guidance to accurately reconstruct the attenuation distribution of each energy channel of the spectral CT data.

Paper Details

Date Published: 3 October 2016
PDF: 9 pages
Proc. SPIE 9967, Developments in X-Ray Tomography X, 99671T (3 October 2016); doi: 10.1117/12.2238309
Show Author Affiliations
Morteza Salehjahromi, Univ. of Massachusetts Lowell (United States)
Yanbo Zhang, Univ. of Massachusetts Lowell (United States)
Hengyong Yu, Univ. of Massachusetts Lowell (United States)


Published in SPIE Proceedings Vol. 9967:
Developments in X-Ray Tomography X
Stuart R. Stock; Bert Müller; Ge Wang, Editor(s)

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