Recent and Upcoming Technological Developments in Computed Tomography High Speed, Low Dose, Deep Learning, Multienergy

被引:206
作者
Lell, Michael M. [1 ]
Kachelriess, Marc [2 ]
机构
[1] Paracelsus Med Univ, Dept Radiol & Nucl Med, Klinikum Nurnberg, Prof Ernst Nathan Str 1, D-90419 Nurnberg, Germany
[2] German Canc Res Ctr, Div Xray Imaging & CT E025, Heidelberg, Germany
关键词
computed tomography; dose reduction; detector technology; dual energy; noise reduction; iterative reconstruction; image reconstruction; artificial intelligence; METAL ARTIFACT REDUCTION; MOTION-CORRECTION ALGORITHM; PULMONARY NODULE DETECTION; TUBE CURRENT MODULATION; DUAL-ENERGY CT; IMAGE-QUALITY; CHEST CT; DIAGNOSTIC-ACCURACY; RADIATION-EXPOSURE; VOLTAGE SELECTION;
D O I
10.1097/RLI.0000000000000601
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
The advent of computed tomography (CT) has revolutionized radiology, and this revolution is still going on. Starting as a pure head scanner, modern CT systems are now able to perform whole-body examinations within a couple of seconds in isotropic resolution, single-rotation whole-organ perfusion, and temporal resolution to fulfill the needs of cardiac CT. Because of the increasing number of CT examinations in all age groups and overall medical-driven radiation exposure, dose reduction remains a hot topic. Although fast gantry rotation, broad detector arrays, and different dual-energy solutions were main topics in the past years, new techniques such as photon counting detectors, powerful x-ray tubes for low-kV scanning, automated image preprocessing, and machine learning algorithms have moved into focus today. The aim of this article is to give an overview of the technical specifications of up-to-date available CT systems and recent hardware and software innovations for CT systems in the near future.
引用
收藏
页码:8 / 19
页数:12
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