Material Discrimination Based on K-edge Characteristics
Joint Authors
Chen, Mian-yi
He, Peng
Wei, Biao
Feng, Peng
Mi, Deling
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-12
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Spectral/multienergy CT employing the state-of-the-art energy-discriminative photon-counting detector can identify absorption features in the multiple ranges of photon energies and has the potential to distinguish different materials based on K-edge characteristics.
K-edge characteristics involve the sudden attenuation increase in the attenuation profile of a relatively high atomic number material.
Hence, spectral CT can utilize material K-edge characteristics (sudden attenuation increase) to capture images in available energy bins (levels/windows) to distinguish different material components.
In this paper, we propose an imaging model based on K-edge characteristics for maximum material discrimination with spectral CT.
The wider the energy bin width is, the lower the noise level is, but the poorer the reconstructed image contrast is.
Here, we introduce the contrast-to-noise ratio (CNR) criterion to optimize the energy bin width after the K-edge jump for the maximum CNR.
In the simulation, we analyze the reconstructed image quality in different energy bins and demonstrate that our proposed optimization approach can maximize CNR between target region and background region in reconstructed image.
American Psychological Association (APA)
He, Peng& Wei, Biao& Feng, Peng& Chen, Mian-yi& Mi, Deling. 2013. Material Discrimination Based on K-edge Characteristics. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-462277
Modern Language Association (MLA)
He, Peng…[et al.]. Material Discrimination Based on K-edge Characteristics. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-462277
American Medical Association (AMA)
He, Peng& Wei, Biao& Feng, Peng& Chen, Mian-yi& Mi, Deling. Material Discrimination Based on K-edge Characteristics. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-462277
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-462277