From the Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55901.
Radiographics. 2018 May-Jun;38(3):833-846. doi: 10.1148/rg.2018170038. Epub 2018 Apr 20.
Visual familiarity with the variety of digital radiographic artifacts is needed to identify, resolve, or prevent image artifacts from creating issues with patient imaging. Because the mechanism for image creation is different between flat-panel detectors and computed radiography, the causes and appearances of some artifacts can be unique to these different modalities. Examples are provided of artifacts that were found on clinical images or during quality control testing with flat-panel detectors. The examples are meant to serve as learning tools for future identification and troubleshooting of artifacts and as a reminder for steps that can be taken for prevention. The examples of artifacts provided are classified according to their causal connection in the imaging chain, including an equipment defect as a result of an accident or mishandling, debris or gain calibration flaws, a problematic acquisition technique, signal transmission failures, and image processing issues. Specific artifacts include those that are due to flat-panel detector drops, backscatter, debris in the x-ray field during calibration, detector saturation or underexposure, or collimation detection errors, as well as a variety of artifacts that are processing induced. RSNA, 2018.
需要熟悉各种数字射线照相伪影的视觉效果,以便识别、解决或防止图像伪影给患者成像带来问题。由于平板探测器和计算机射线照相的图像创建机制不同,因此某些伪影的原因和外观可能是这些不同模式特有的。本文提供了在临床图像中或在使用平板探测器进行质量控制测试时发现的伪影示例。这些示例旨在作为未来识别和解决伪影的学习工具,并提醒可以采取哪些措施进行预防。提供的伪影示例根据其在成像链中的因果关系进行分类,包括由于事故或操作不当导致的设备缺陷、碎片或增益校准缺陷、有问题的采集技术、信号传输故障以及图像处理问题。具体的伪影包括由于平板探测器掉落、散射、校准过程中射线场中的碎片、探测器饱和或欠曝光或准直检测错误引起的伪影,以及各种由处理引起的伪影。RSNA,2018。