Literature DB >> 18319281

Quality assurance of computed and digital radiography systems.

C Walsh1, D Gorman, P Byrne, A Larkin, A Dowling, J F Malone.   

Abstract

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.

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Year:  2008        PMID: 18319281     DOI: 10.1093/rpd/ncn047

Source DB:  PubMed          Journal:  Radiat Prot Dosimetry        ISSN: 0144-8420            Impact factor:   0.972


  6 in total

1.  Evaluation of Radiation Dose Reduction and its Effect on Image Quality for Different Flat-Panel Detectors.

Authors:  R Benedicta Pearlin; Roshan Samuel Livingstone; Anita Jasper; Shyam Kumar N Keshava; Gibikote Sridhar
Journal:  J Med Phys       Date:  2022-03-31

2.  Initial quality performance results using a phantom to simulate chest computed radiography.

Authors:  Wilbroad Muhogora; Renato Padovani; Peter Msaki
Journal:  J Med Phys       Date:  2011-01

3.  Performance evaluation of three computed radiography systems using methods recommended in American Association of Physicists in Medicine Report 93.

Authors:  Wilbroad Muhogora; Renato Padovani; Faustino Bonutti; Peter Msaki; R Kazema
Journal:  J Med Phys       Date:  2011-07

4.  The effects of image acquisition control of digital X-ray system on radiodensity quantification.

Authors:  Wook-Jin Seong; Hyeon-Cheol Kim; Soocheol Jeong; Youngcheul Heo; Woo-Bin Song; Mansur Ahmad
Journal:  Restor Dent Endod       Date:  2013-08-23

5.  Development of a zoomorphic test specimen for constancy testing on digital X-ray systems in veterinary radiology.

Authors:  Gerrit Pöhlmann; Matthias Lüpke; Christian Seiler; Patrick Wefstaedt; Jan-Peter Bach; Ingo Nolte; Hermann Seifert
Journal:  Acta Vet Scand       Date:  2019-08-20       Impact factor: 1.695

6.  A routine quality assurance test for CT automatic exposure control systems.

Authors:  Gareth R Iball; Alexis C Moore; Elizabeth J Crawford
Journal:  J Appl Clin Med Phys       Date:  2016-07-08       Impact factor: 2.102

  6 in total

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