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State of the Art of CT Detectors and Sources: A Literature Review

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TLDR
The three CT components with the greatest impact on image quality are the X-ray source, detection system and reconstruction algorithms, and this paper focuses on the first two.
Abstract
The three CT components with the greatest impact on image quality are the X-ray source, detection system and reconstruction algorithms. In this paper, we focus on the first two. We describe the state-of-the-art of CT detection systems, their calibrations, software corrections and common performance metrics. The components of CT detection systems, such as scintillator materials, photodiodes, data acquisition electronics and anti-scatter grids, are discussed. Their impact on CT image quality, their most important characteristics, as well as emerging future technology trends for each, are reviewed. The use of detection for multi-energy CT imaging is described. An overview of current CT X-ray sources, their evolution to support major trends in CT imaging and future trends is provided.

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Journal ArticleDOI

Photon-counting Detector CT: System Design and Clinical Applications of an Emerging Technology

TL;DR: PCD technology and its use for in vivo high-spatial-resolution multienergy CT imaging is discussed, and examples with phantom, animal, and patient studies are provided.
Journal ArticleDOI

Performance of today’s dual energy CT and future multi energy CT in virtual non-contrast imaging and in iodine quantification: A simulation study

TL;DR: Comparing DECT with future MECT, the authors found noticeable material image quality improvements for an ideal photon counting detector; however, a realistic detector model with multiple energy bins predicts a performance on the level of dual source DECT at 100 kV/Sn 140 kV.
Journal ArticleDOI

Evolution in Computed Tomography: The Battle for Speed and Dose.

TL;DR: Technical advancements of scanner hardware and image reconstruction techniques are reviewed and discussed in their clinical context and have led to a steady increase of CT examinations in all age groups for a number of reasons.
Journal ArticleDOI

Photon-counting x-ray detectors for CT

TL;DR: An overview of data processing, reconstruction methods and metrics of imaging performance; outline clinical applications; and discuss potential future developments in the field of photon-counting CT are given.
References
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Journal ArticleDOI

Energy-selective reconstructions in X-ray computerized tomography.

TL;DR: It is shown that for any material, complete energy spectral information may be summarized by a few constants which are independent of energy, and a technique is presented which uses simple, low-resolution, energy spectrum measurements and conventional computerized tomography techniques to calculate these constants.
Book

Computed Tomography: Principles, Design, Artifacts, and Recent Advances

Jiang Hsieh
TL;DR: Introduction Preliminaries Image Reconstruction Image Presentation Key Performance Parameters of a CT Scanner Major Components of CT scanner Image Artifacts: Appearances, Causes, and Corrections Computer Simulation and Analysis.

Computed Tomography: Principles, Design, Artifacts, and Recent Advances, Fourth Edition

Jiang Hsieh
TL;DR: Introduction Preliminaries Image Reconstruction Image Presentation Key Performance Parameters of a CT Scanner Major Components of CT scanner Image Artifacts: Appearances, Causes, and Corrections Computer Simulation and Analysis.
Journal ArticleDOI

A Quantum Theory of the Scattering of X-rays by Light Elements

TL;DR: In this article, it is suggested that when an X-ray quantum is scattered it spends all of its energy and momentum upon some particular electron, which in turn scatters the ray in some definite direction.
Journal ArticleDOI

Experimental feasibility of multi-energy photon-counting K-edge imaging in pre-clinical computed tomography.

TL;DR: A CT system with energy detection capabilities is presented, which was used to demonstrate the feasibility of quantitative K-edge CT imaging experimentally and derive a phenomenological model for the detector response and the energy bin sensitivities.
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