Development of virtual monochromatic imaging technique with spectral CT based on a photon-counting detector

2018 ◽  
Author(s):  
Sooncheol Kang ◽  
Jisoo Eom ◽  
Burnyoung Kim ◽  
Duhgoon Lee ◽  
Chang-Lae Lee ◽  
...  
Keyword(s):  
Imaging Technique ◽  
Photon Counting ◽  
Spectral Ct ◽  
Virtual Monochromatic Imaging ◽  
Photon Counting Detector ◽  
Monochromatic Imaging

scholarly journals Spectral CT of the extremities with a silicon strip photon counting detector

2015 ◽  
Author(s):  
A. Sisniega ◽  
W. Zbijewski ◽  
J. W. Stayman ◽  
J. Xu ◽  
K. Taguchi ◽  
...  
Keyword(s):  
Photon Counting ◽  
Spectral Ct ◽  
Photon Counting Detector

scholarly journals Material Discrimination Based on K-edge Characteristics

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Peng He ◽  
Biao Wei ◽  
Peng Feng ◽  
Mianyi Chen ◽  
Deling Mi
Keyword(s):  
Photon Counting ◽  
Reconstructed Image ◽  
Optimization Approach ◽  
Spectral Ct ◽  
Target Region ◽  
Photon Counting Detector ◽  
Available Energy ◽  
Imaging Model ◽  
Material Discrimination ◽  
Attenuation Profile

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.

scholarly journals Spectral CT reconstruction with an explicit photon-counting detector model: a one-step approach

2018 ◽  
Author(s):  
Pierre-Antoine Rodesch ◽  
Véronique Rebuffel ◽  
Clarisse Fournier ◽  
Florence Forbes ◽  
L. Verger
Keyword(s):  
Photon Counting ◽  
Ct Reconstruction ◽  
Spectral Ct ◽  
Photon Counting Detector ◽  
One Step ◽  
Detector Model

Combination of current-integrating/photon-counting detector modules for spectral CT

2013 ◽  
Vol 58 (19) ◽  
pp. 7009-7024 ◽  
Author(s):  
Jiyang Chu ◽  
Wenxiang Cong ◽  
Liang Li ◽  
Ge Wang
Keyword(s):  
Photon Counting ◽  
Spectral Ct ◽  
Photon Counting Detector
Sign in / Sign up

Export Citation Format

Share Document