Walsh C, Gorman D, Byrne P, Larkin A, Dowling A, Malone J F
Haughton Institute, Dublin 8 & The Adelaide and Meath Hospital incorporating the National Children's Hospital, Dublin.
Radiat Prot Dosimetry. 2008;129(1-3):271-5. doi: 10.1093/rpd/ncn047. Epub 2008 Mar 4.
Computed radiography (CR) and digital radiography (DR) are replacing traditional film screen radiography as hospitals move towards digital imaging and picture archiving and communication systems (PACS). Both IPEM and KCARE have recently published quality assurance and acceptance testing guidelines for DR. In this paper, the performance of a range of CR and DR systems is compared. Six different manufacturers are included. Particular attention is paid to the performance of the systems under automatic exposure control (AEC). The patient is simulated using a range of thicknesses of tissue equivalent material. Image quality assessment was based on detector assessment protocols and includes pixel value measures as well as subjective assessment using Leeds Test Objects. The protocols for detector assessment cover a broad range of tests and in general detectors (whether DR or CR) performed satisfactorily. The chief limitation in performing these tests was that not all systems provided ready access to pixel values. Subjective tests include the use of the Leeds TO20. As part of this work, suggested reference values are provided to calculate the TO20 image quality factor. One consequence of moving from film screen to digital technologies is that the dynamic range of digital detectors is much wider, and increased exposures are no longer evident from changes in image quality. As such, AEC is a key parameter for CR and DR. Dose was measured using a standard phantom as a basic means of comparing systems. In order to assess the AEC performance, exit doses were also measured while varying phantom thickness. Signal-to-noise ratios (SNRs) were calculated on a number of systems where pixel values were available. SNR was affected by the selection of acquisition protocol. Comparisons between different technologies and collation of data will help refine acceptance thresholds and contribute to optimising dose and image quality.
随着医院向数字成像及图像存档与通信系统(PACS)迈进,计算机X线摄影(CR)和数字X线摄影(DR)正在取代传统的屏片X线摄影。IPEM和KCARE最近都发布了DR的质量保证和验收测试指南。本文对一系列CR和DR系统的性能进行了比较。其中包括六个不同的制造商。特别关注了自动曝光控制(AEC)下系统的性能。使用一系列不同厚度的组织等效材料模拟患者。图像质量评估基于探测器评估协议,包括像素值测量以及使用利兹测试模体的主观评估。探测器评估协议涵盖了广泛的测试,总体而言探测器(无论是DR还是CR)表现令人满意。进行这些测试的主要限制在于并非所有系统都能方便地获取像素值。主观测试包括使用利兹TO20。作为这项工作的一部分,提供了建议的参考值来计算TO20图像质量因子。从屏片技术转向数字技术的一个结果是数字探测器的动态范围要宽得多,图像质量的变化不再明显体现出曝光增加的情况。因此,AEC是CR和DR的关键参数。使用标准模体测量剂量作为比较系统的基本方法。为了评估AEC性能,还在改变模体厚度时测量了出射剂量。在一些能够获取像素值的系统上计算了信噪比(SNR)。SNR受采集协议选择的影响。不同技术之间的比较和数据整理将有助于完善验收阈值,并有助于优化剂量和图像质量。