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Review

Radiation Detectors and Sensors in Medical Imaging

Radiation Physics, Materials Technology and Biomedical Imaging Laboratory, Department of Biomedical Engineering, University of West Attica, Ag. Spyridonos, 12210 Athens, Greece
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Sensors 2024, 24(19), 6251; https://doi.org/10.3390/s24196251
Submission received: 28 August 2024 / Revised: 23 September 2024 / Accepted: 25 September 2024 / Published: 26 September 2024
(This article belongs to the Special Issue Multiple Sensor Signal and Image Processing for Clinical Application)

Abstract

Medical imaging instrumentation design and construction is based on radiation sources and radiation detectors/sensors. This review focuses on the detectors and sensors of medical imaging systems. These systems are subdivided into various categories depending on their structure, the type of radiation they capture, how the radiation is measured, how the images are formed, and the medical goals they serve. Related to medical goals, detectors fall into two major areas: (i) anatomical imaging, which mainly concerns the techniques of diagnostic radiology, and (ii) functional-molecular imaging, which mainly concerns nuclear medicine. An important parameter in the evaluation of the detectors is the combination of the quality of the diagnostic result they offer and the burden of the patient with radiation dose. The latter has to be minimized; thus, the input signal (radiation photon flux) must be kept at low levels. For this reason, the detective quantum efficiency (DQE), expressing signal-to-noise ratio transfer through an imaging system, is of primary importance. In diagnostic radiology, image quality is better than in nuclear medicine; however, in most cases, the dose is higher. On the other hand, nuclear medicine focuses on the detection of functional findings and not on the accurate spatial determination of anatomical data. Detectors are integrated into projection or tomographic imaging systems and are based on the use of scintillators with optical sensors, photoconductors, or semiconductors. Analysis and modeling of such systems can be performed employing theoretical models developed in the framework of cascaded linear systems analysis (LCSA), as well as within the signal detection theory (SDT) and information theory.
Keywords: radiation detectors; optical sensors; medical imaging systems; diagnostic radiology; nuclear medicine; artificial intelligence; deep learning radiation detectors; optical sensors; medical imaging systems; diagnostic radiology; nuclear medicine; artificial intelligence; deep learning

Share and Cite

MDPI and ACS Style

Michail, C.; Liaparinos, P.; Kalyvas, N.; Kandarakis, I.; Fountos, G.; Valais, I. Radiation Detectors and Sensors in Medical Imaging. Sensors 2024, 24, 6251. https://doi.org/10.3390/s24196251

AMA Style

Michail C, Liaparinos P, Kalyvas N, Kandarakis I, Fountos G, Valais I. Radiation Detectors and Sensors in Medical Imaging. Sensors. 2024; 24(19):6251. https://doi.org/10.3390/s24196251

Chicago/Turabian Style

Michail, Christos, Panagiotis Liaparinos, Nektarios Kalyvas, Ioannis Kandarakis, George Fountos, and Ioannis Valais. 2024. "Radiation Detectors and Sensors in Medical Imaging" Sensors 24, no. 19: 6251. https://doi.org/10.3390/s24196251

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