Literature DB >> 25571914

Investigating the use of an antiscatter grid in chest radiography for average adults with a computed radiography imaging system.

C S Moore1, T J Wood, G Avery, S Balcam, L Needler, A Smith, J R Saunderson, A W Beavis.   

Abstract

OBJECTIVE: The aim of this study was to investigate via simulation a proposed change to clinical practice for chest radiography. The validity of using a scatter rejection grid across the diagnostic energy range (60-125 kVp), in conjunction with appropriate tube current-time product (mAs) for imaging with a computed radiography (CR) system was investigated.
METHODS: A digitally reconstructed radiograph algorithm was used, which was capable of simulating CR chest radiographs with various tube voltages, receptor doses and scatter rejection methods. Four experienced image evaluators graded images with a grid (n = 80) at tube voltages across the diagnostic energy range and varying detector air kermas. These were scored against corresponding images reconstructed without a grid, as per current clinical protocol.
RESULTS: For all patients, diagnostic image quality improved with the use of a grid, without the need to increase tube mAs (and therefore patient dose), irrespective of the tube voltage used. Increasing tube mAs by an amount determined by the Bucky factor made little difference to image quality.
CONCLUSION: A virtual clinical trial has been performed with simulated chest CR images. RESULTS indicate that the use of a grid improves diagnostic image quality for average adults, without the need to increase tube mAs, even at low tube voltages. ADVANCES IN KNOWLEDGE: Validated with images containing realistic anatomical noise, it is possible to improve image quality by utilizing grids for chest radiography with CR systems without increasing patient exposure. Increasing tube mAs by an amount determined by the Bucky factor is not justified.

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Year:  2015        PMID: 25571914      PMCID: PMC4651192          DOI: 10.1259/bjr.20140613

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  29 in total

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Authors:  F O Bochud; J F Valley; F R Verdun; C Hessler; P Schnyder
Journal:  Med Phys       Date:  1999-07       Impact factor: 4.071

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Journal:  Acta radiol       Date:  1959-08       Impact factor: 1.990

4.  Influence of the characteristic curve on the clinical image quality of lumbar spine and chest radiographs.

Authors:  A Tingberg; C Herrmann; B Lanhede; A Almén; M Sandborg; G McVey; S Mattsson; W Panzer; J Besjakov; L G Månsson; S Kheddache; G Alm Carlsson; D R Dance; U Tylén; M Zankl
Journal:  Br J Radiol       Date:  2004-03       Impact factor: 3.039

5.  Validation of a large-scale audit technique for CT dose optimisation.

Authors:  T J Wood; A W Davis; C S Moore; A W Beavis; J R Saunderson
Journal:  Radiat Prot Dosimetry       Date:  2011-11-16       Impact factor: 0.972

6.  Studies of performance of antiscatter grids in digital radiography: effect on signal-to-noise ratio.

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Journal:  Med Phys       Date:  1990 Jul-Aug       Impact factor: 4.071

7.  Nodule detection in digital chest radiography: effect of anatomical noise.

Authors:  Magnus Båth; Markus Håkansson; Sara Börjesson; Christoph Hoeschen; Oleg Tischenko; Susanne Kheddache; Jenny Vikgren; Lars Gunnar Månsson
Journal:  Radiat Prot Dosimetry       Date:  2005       Impact factor: 0.972

8.  Nodule detection in digital chest radiography: effect of system noise.

Authors:  Markus Håkansson; Magnus Båth; Sara Börjesson; Susanne Kheddache; Ase Allansdotter Johnsson; Lars Gunnar Månsson
Journal:  Radiat Prot Dosimetry       Date:  2005       Impact factor: 0.972

9.  Quantitative scatter measurement in digital radiography using a photostimulable phosphor imaging system.

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Journal:  Med Phys       Date:  1991 May-Jun       Impact factor: 4.071

10.  The tissue-equivalence of the Alderson Rando anthropomorphic phantom for x-rays of diagnostic qualities.

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Journal:  Phys Med Biol       Date:  1981-01       Impact factor: 3.609

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  3 in total

1.  An investigation into the validity of utilising the CDRAD 2.0 phantom for optimisation studies in digital radiography.

Authors:  Sadeq Al-Murshedi; Peter Hogg; Andrew England
Journal:  Br J Radiol       Date:  2018-07-05       Impact factor: 3.039

2.  Use of a computer simulator to investigate optimized tube voltage for chest imaging of average patients with a digital radiography (DR) imaging system.

Authors:  Craig Steven Moore; Tim Wood; Ged Avery; Steve Balcam; Liam Needler; Hiten Joshi; Najeeb Ahmed; John Saunderson; Andrew Beavis
Journal:  Br J Radiol       Date:  2019-10-07       Impact factor: 3.039

3.  The Potential Role of Grid-Like Software in Bedside Chest Radiography in Improving Image Quality and Dose Reduction: An Observer Preference Study.

Authors:  Su Yeon Ahn; Kum Ju Chae; Jin Mo Goo
Journal:  Korean J Radiol       Date:  2018-04-06       Impact factor: 3.500

  3 in total

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