Cascaded systems modeling of signal, noise, and DQE for x-ray photon counting detectors

Author(s):  
J. Xu ◽  
W. Zbijewski ◽  
G. Gang ◽  
J. W. Stayman ◽  
K. Taguchi ◽  
...  
2006 ◽  
Author(s):  
Anton S. Tremsin ◽  
Oswald H. W. Siegmund ◽  
John V. Vallerga ◽  
Jeff S. Hull

2014 ◽  
Vol 41 (12) ◽  
pp. 121902 ◽  
Author(s):  
Huanjun Ding ◽  
Hyo-Min Cho ◽  
William C. Barber ◽  
Jan S. Iwanczyk ◽  
Sabee Molloi

2021 ◽  
Vol 10 (24) ◽  
pp. 5757
Author(s):  
Salim Aymeric Si-Mohamed ◽  
Jade Miailhes ◽  
Pierre-Antoine Rodesch ◽  
Sara Boccalini ◽  
Hugo Lacombe ◽  
...  

The X-ray imaging field is currently undergoing a period of rapid technological innovation in diagnostic imaging equipment. An important recent development is the advent of new X-ray detectors, i.e., photon-counting detectors (PCD), which have been introduced in recent clinical prototype systems, called PCD computed tomography (PCD-CT) or photon-counting CT (PCCT) or spectral photon-counting CT (SPCCT) systems. PCD allows a pixel up to 200 microns pixels at iso-center, which is much smaller than that can be obtained with conventional energy integrating detectors (EID). PCDs have also a higher dose efficiency than EID mainly because of electronic noise suppression. In addition, the energy-resolving capabilities of these detectors allow generating spectral basis imaging, such as the mono-energetic images or the water/iodine material images as well as the K-edge imaging of a contrast agent based on atoms of high atomic number. In recent years, studies have therefore been conducted to determine the potential of PCD-CT as an alternative to conventional CT for chest imaging.


Author(s):  
Thomas Thuering ◽  
Spyridon Gkoumas ◽  
Pietro Zambon ◽  
Peter Trueb ◽  
Michael Rissi ◽  
...  

2019 ◽  
Vol 26 (2) ◽  
pp. 510-516 ◽  
Author(s):  
Francesco Brun ◽  
Luca Brombal ◽  
Vittorio Di Trapani ◽  
Pasquale Delogu ◽  
Sandro Donato ◽  
...  

In the case of single-distance propagation-based phase-contrast X-ray computed tomography with synchrotron radiation, the conventional reconstruction pipeline includes an independent 2D phase retrieval filtering of each acquired projection prior to the actual reconstruction. In order to compensate for the limited height of the X-ray beam or the small sensitive area of most modern X-ray photon-counting detectors, it is quite common to image large objects with a multi-stage approach, i.e. several acquisitions at different vertical positions of the sample. In this context, the conventional reconstruction pipeline may introduce artifacts at the margins of each vertical stage. This article presents a modified computational protocol where a post-reconstruction 3D volume phase retrieval is applied. By comparing the conventional 2D and the proposed 3D reconstructions of a large mastectomy specimen (9 cm in diameter and 3 cm in height), it is here shown that the 3D approach compensates for the multi-stage artifacts, it avoids refined projection stitching, and the image quality in terms of spatial resolution, contrast and contrast-to-noise ratio is preserved.


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