Literature DB >> 18662964

Investigation of optimum X-ray beam tube voltage and filtration for chest radiography with a computed radiography system.

C S Moore1, A W Beavis, J R Saunderson.   

Abstract

The purpose of this study was to determine the optimum tube voltage and amount of added copper (Cu) filtration for processed chest radiographs obtained with an Agfa 75.0 Computed Radiography (CR) system. The contrast-to-noise ratio (CNR) was measured in the lung, heart/spine and diaphragm compartments of a validated chest phantom using various tube voltages and amounts of Cu filtration. The CNR was derived as a function of air kerma at the CR plate and with the effective dose. As rib contrast can interfere with detection of nodules in chest radiography, a tissue-to-rib ratio (TRR) was derived to investigate which tube voltages suppress the contrast of rib. Although processing algorithms affect the signal and noise in a way that is hard to predict, we found that, for a given set of processing parameters, the CNR was related to the plate air kerma and effective dose in a logarithmic manner (all R(2) >or=0.97). For imaging of the lung region, a low voltage (60 kVp) produced the highest CNR, whereas a high voltage (125 kVp) produced the highest TRR. In the heart/spine region, 80-125 kVp produced the highest CNR, while in the diaphragm region 60-90 kVp produced the highest CNR. For chest radiography with this CR system, the optimal tube voltage depends upon the region of interest. Of the filters tested, a 0.1 mm Cu thickness was found to provide a statistically significant increase in the CNR in the diaphragm region with tube potentials of 60 kVp and 80 kVp, without affecting the CNR in the other anatomical compartments.

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Year:  2008        PMID: 18662964     DOI: 10.1259/bjr/21963665

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


  7 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.  Optimization of image quality and patient dose in radiographs of paediatric extremities using direct digital radiography.

Authors:  A Jones; C Ansell; C Jerrom; I D Honey
Journal:  Br J Radiol       Date:  2015-03-27       Impact factor: 3.039

3.  Optimisation of radiological protocols for chest imaging using computed radiography and flat-panel X-ray detectors.

Authors:  G Compagnone; M Casadio Baleni; E Di Nicola; M Valentino; M Benati; L F Calzolaio; N Oberhofer; E Fabbri; S Domenichelli; L Barozzi
Journal:  Radiol Med       Date:  2012-10-22       Impact factor: 3.469

4.  Correlation of the clinical and physical image quality in chest radiography for average adults with a computed radiography imaging system.

Authors:  C S Moore; T J Wood; A W Beavis; J R Saunderson
Journal:  Br J Radiol       Date:  2013-04-08       Impact factor: 3.039

5.  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

6.  Usefulness of an Additional Filter Created Using 3D Printing for Whole-Body X-ray Imaging with a Long-Length Detector.

Authors:  Hyunsoo Seo; Wooyoung Kim; Bongju Han; Huimin Jang; Myeong Seong Yoon; Youngjin Lee
Journal:  Sensors (Basel)       Date:  2022-06-06       Impact factor: 3.847

7.  Optimizing imaging quality and radiation dose by the age-dependent setting of tube voltage in pediatric chest digital radiography.

Authors:  Hui Guo; Wen-Ya Liu; Xiao-Ye He; Xiao-Shan Zhou; Qun-Li Zeng; Bai-Yan Li
Journal:  Korean J Radiol       Date:  2012-12-28       Impact factor: 3.500

  7 in total

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