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Energy-discriminative performance of a spectral micro-CT system

Year: 2013
Type: article
Abstract: Experiments were performed to evaluate the energy-discriminative performance of a spectral (multi-energy) micro-CT system. The system, designed by MARS (Medipix All Resolution System) Bio-Imaging Ltd. (Christchurch, New Zealand), employs a photon-counting energy-discriminative detector technology developed by CERN (European Organization for Nuclear Research). We used the K-edge attenuation characteristics of some known materials to calibrate the detector's photon energy discrimination. For tomographic analysis, we used the compressed sensing (CS) based ordered-subset simultaneous algebraic reconstruction techniques (OS-SART) to reconstruct sample images, which is effective to reduce noise and suppress artifacts. Unlike conventional CT, the principal component analysis (PCA) method can be applied to extract and quantify additional attenuation information from a spectral CT dataset. Our results show that the spectral CT has a good energy-discriminative performance and provides more attenuation information than the conventional CT.
DOI: 10.3233/xst-130382
Authors: Peng He, Hengyong Yu, James Bennett, Paul Ronaldson, Rafidah Zainon, Anthony Butler, Phil Butler, Biao Wei, Ge Wang
Institutions: Chongqing University, Virginia Tech - Wake Forest University School of Biomedical Engineering & Sciences, Virginia Tech, Wake Forest University Health Sciences, Wake Forest University, University of Otago, University of Canterbury, European Organization for Nuclear Research
Language: English
Open Access status: green
OpenAlex ID: W1762697187
FWCI: 0.709
Cites: 28
Cited by: 14
Related to: 10