探测量子效率
探测器
医学影像学
医学物理学
图像质量
图像传感器
辐射
信号(编程语言)
闪烁体
粒子探测器
计算机科学
噪音(视频)
仪表(计算机编程)
物理
光学
核医学
人工智能
医学
图像(数学)
操作系统
程序设计语言
作者
C. Michail,P. Liaparinos,Nektarios Kalyvas,I. Kandarakis,George Fountos,Ioannis Valais
出处
期刊:Sensors
[Multidisciplinary Digital Publishing Institute]
日期:2024-09-26
卷期号:24 (19): 6251-6251
被引量:14
摘要
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.
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