Literature DB >> 8796680

Computed radiography X-ray exposure trends.

J A Seibert1, D K Shelton, E H Moore.   

Abstract

RATIONALE AND
OBJECTIVES: Computed radiography provides correct optical density on film, independent of the incident radiation exposure, but it can result in under- or overexposure of the imaging plate. In the current study, we evaluated the radiation exposure trends of computed radiography over a 2-year period for portable chest examinations to determine and compare the radiographic techniques of the computed radiography system relative to conventional screen-film detectors.
METHODS: A Fuji computed radiography system was interfaced to a digital workstation to track system usage and examination demographics, including examination type and sensitivity number. Hard-copy films were used for diagnosis. The sensitivity number, a value inversely related to incident exposure on the imaging plate, was used to determine whether the proper techniques were used by the technologists.
RESULTS: The initial use of the computed radiography system revealed a broad distribution of exposures being used; complaints regarding noisy films (e.g., underexposure) resulted in subsequent overexposure for a significant number of films. A quality-control audit indicating excessive exposure resulted in educational feedback and a tighter distribution of exposures within the optimal range as determined by our radiologists. The average technique was approximately equivalent to a 200-speed system.
CONCLUSION: Computed radiography provides excellent dynamic range and rescaling capabilities for proper film optical density, and thus fewer repeat examinations. However, underexposure results in suboptimal image quality that is related to excessive quantum mottle. Overexposure requires film audits to limit unnecessary radiation exposure. In general, the optimal exposures are achieved with approximately 1.5-2 times the incident detector exposure of a 400-speed rare-earth system. The ability of computed radiography to reduce radiation exposure is unlikely when compared with a typical rare-earth screen-film combination (400 speed) in terms of adequate image quality for the diagnosis of subtle, low-contrast findings. For certain diagnostic procedures (e.g., nasogastric tube placement verification), lower exposures can be tolerated.

Mesh:

Year:  1996        PMID: 8796680     DOI: 10.1016/s1076-6332(96)80247-9

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  9 in total

1.  Quality assurance: a comparison study of radiographic exposure for neonatal chest radiographs at 4 academic hospitals.

Authors:  Mervyn D Cohen; Richard Markowitz; Jeanne Hill; Walter Huda; Paul Babyn; Bruce Apgar
Journal:  Pediatr Radiol       Date:  2011-11-06

2.  An exposure indicator for digital radiography: AAPM Task Group 116 (executive summary).

Authors:  S Jeff Shepard; Jihong Wang; Michael Flynn; Eric Gingold; Lee Goldman; Kerry Krugh; David L Leong; Eugene Mah; Kent Ogden; Donald Peck; Ehsan Samei; Jihong Wang; Charles E Willis
Journal:  Med Phys       Date:  2009-07       Impact factor: 4.071

3.  ACR-AAPM-SIIM practice guideline for digital radiography.

Authors:  Katherine P Andriole; Thomas G Ruckdeschel; Michael J Flynn; Nicholas J Hangiandreou; A Kyle Jones; Elizabeth Krupinski; J Anthony Seibert; S Jeff Shepard; Alisa Walz-Flannigan; Tariq A Mian; Matthew S Pollack
Journal:  J Digit Imaging       Date:  2013-02       Impact factor: 4.056

4.  Modeling the performance characteristics of computed radiography (CR) systems.

Authors:  Srinivasan Vedantham; Andrew Karellas
Journal:  IEEE Trans Med Imaging       Date:  2010-03       Impact factor: 10.048

5.  Dependence of radiographic sensitivity of CR imaging plate on X-ray tube voltage.

Authors:  Yoshiyuki Asai; Masanobu Uemura; Masao Matsumoto; Hitoshi Kanamori
Journal:  Radiol Phys Technol       Date:  2007-12-11

6.  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

7.  One year's results from a server-based system for performing reject analysis and exposure analysis in computed radiography.

Authors:  A Kyle Jones; Raimund Polman; Charles E Willis; S Jeff Shepard
Journal:  J Digit Imaging       Date:  2011-04       Impact factor: 4.056

8.  Comparison of computed radiography and film/screen combination using a contrast-detail phantom.

Authors:  Z F Lu; E L Nickoloff; J C So; A K Dutta
Journal:  J Appl Clin Med Phys       Date:  2003       Impact factor: 2.102

Review 9.  Patient-based radiographic exposure factor selection: a systematic review.

Authors:  William Ching; John Robinson; Mark McEntee
Journal:  J Med Radiat Sci       Date:  2014-08-07
  9 in total

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