Open Access
CC BY 4.0 · Journal of Health and Allied Sciences NU 2023; 13(02): 147-152
DOI: 10.1055/s-0042-1749180
Review Article

Photon-Counting Detectors in Computed Tomography: A Review

Muriel Jeremia Gomes
1   Department of Radiodiagnosis and Imaging, Medical Imaging Technology, KS Hegde Medical Academy, Mangalore, Karnataka, India
,
1   Department of Radiodiagnosis and Imaging, Medical Imaging Technology, KS Hegde Medical Academy, Mangalore, Karnataka, India
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Abstract

Photon-counting computed tomography (CT) is a new technique that has the potential to revolutionize clinical CT and is predicted to be the next significant advancement. In recent years, tremendous research has been conducted to demonstrate the developments in hardware assembly and its working principles. The articles in this review were obtained by conducting a search of the MEDLINE database. Photon-counting detectors (PCDs) provide excellent quality diagnostic images with high spatial resolution, reduced noise, artifacts, increased contrast-to-noise ratio, and multienergy data acquisition as compared with conventionally used energy-integrating detector (EID). The search covered articles published between 2011 and 2021. The title and abstract of each article were reviewed as determined by the search strategy. From these, eligible studies and articles that provided the working and clinical application of PCDs were selected. This article aims to provide a systematic review of the basic working principles of PCDs, emphasize the uses and clinical applications of PCDs, and compare it to EIDs. It provides a nonmathematical explanation and understanding of photon-counting CT systems for radiologists as well as clinicians.

Description

This article reports the current status, basic working principles, and applications of photon-counting detectors (PCD) compared with the conventional EID used for CT scanners.




Publikationsverlauf

Artikel online veröffentlicht:
04. Juli 2022

© 2022. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

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