Literature DB >> 32783630

Optimisation of tube voltage range (kVp) for AP abdomen, pelvis and spine imaging of average patients with a digital radiography (DR) imaging system using a computer simulator.

Craig Steven Moore1, Tim Wood1,2, Stephen Balcam3, Liam Needler3, Tim Guest3, Wee Ping Ngu3, Lee Wun Chong3, John Saunderson1, Andrew Beavis1,2,4.   

Abstract

OBJECTIVES: To investigate via computer simulation, an optimised tube voltage (kVp) range for caesium iodide (CsI)-based digital radiography (DR) of the abdomen, pelvis and lumbar spine.
METHODS: Software capable of simulating abdomen, pelvis and spine radiographs was used. Five evaluators graded clinical image criteria in images of 20 patients at tube voltages ranging from 60 to 120 kVp in 10 kVp increments. These criteria were scored blindly against the same patient reconstructed at a specific reference kVp. Linear mixed effects analysis was used to evaluate image scores for each criterion and test for statistical significance.
RESULTS: Score was dependent on tube voltage and image criteria; both were statistically significant. All criteria for all anatomies scored very poorly at 60 kVp. Scores for abdomen, pelvis and spine imaging peaked at 70, 70 and 100 kVp, respectively, but other kVp values were not significantly poorer.
CONCLUSIONS: Results indicate optimum tube voltages of 70 kVp for abdomen and pelvis (with an optimum range 70-120 kVp), and 100 kVp (optimum range 80-120 kVp) for lumbar spine. ADVANCES IN KNOWLEDGE: There are no recommendations for optimised tube voltage parameters for DR abdomen, pelvis or lumbar spine imaging. This study has investigated and recommended an optimal tube voltage range.

Entities:  

Mesh:

Substances:

Year:  2020        PMID: 32783630      PMCID: PMC7548356          DOI: 10.1259/bjr.20200565

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


  9 in total

1.  A method to produce and validate a digitally reconstructed radiograph-based computer simulation for optimisation of chest radiographs acquired with a computed radiography imaging system.

Authors:  C S Moore; G P Liney; A W Beavis; J R Saunderson
Journal:  Br J Radiol       Date:  2011-10       Impact factor: 3.039

2.  Comparison of clinical and physical measures of image quality in chest and pelvis computed radiography at different tube voltages.

Authors:  Michael Sandborg; Anders Tingberg; Gustaf Ullman; David R Dance; Gudrun Alm Carlsson
Journal:  Med Phys       Date:  2006-11       Impact factor: 4.071

3.  Transition from screen-film to computed radiography in a paediatric hospital: the missing link towards optimisation.

Authors:  Graciano Paulo; Joana Santos; Ana Moreira; Filipa Figueiredo
Journal:  Radiat Prot Dosimetry       Date:  2011-08-04       Impact factor: 0.972

4.  Digital pelvic radiography: increasing distance to reduce dose.

Authors:  Robert Heath; Andrew England; Anthony Ward; Paul Charnock; Matthew Ward; Paula Evans; Louise Harding
Journal:  Radiol Technol       Date:  2011 Sep-Oct

5.  A method to incorporate the effect of beam quality on image noise in a digitally reconstructed radiograph (DRR) based computer simulation for optimisation of digital radiography.

Authors:  Craig S Moore; Tim J Wood; John R Saunderson; Andrew W Beavis
Journal:  Phys Med Biol       Date:  2017-09-01       Impact factor: 3.609

Review 6.  Methods for the analysis of ordinal response data in medical image quality assessment.

Authors:  Claire Keeble; Paul D Baxter; Amber J Gislason-Lee; Laura A Treadgold; Andrew G Davies
Journal:  Br J Radiol       Date:  2016-04-12       Impact factor: 3.039

Review 7.  Digital imaging and radiographic practise in diagnostic radiography: An overview of current knowledge and practice in Europe.

Authors:  S Mc Fadden; T Roding; G de Vries; M Benwell; H Bijwaard; J Scheurleer
Journal:  Radiography (Lond)       Date:  2017-12-07

8.  Use of a digitally reconstructed radiograph-based computer simulation for the optimisation of chest radiographic techniques for computed radiography imaging systems.

Authors:  C S Moore; G Avery; S Balcam; L Needler; A Swift; A W Beavis; J R Saunderson
Journal:  Br J Radiol       Date:  2012-01-17       Impact factor: 3.039

9.  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

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.