Literature DB >> 27433220

Automated performance assessment of ultrasound systems using a dynamic phantom.

J Joy1, F Riedel2, A A Valente3, S Cochran1, G A Corner2.   

Abstract

Quality assurance of medical ultrasound imaging systems is limited by repeatability, difficulty in quantifying results, and the time involved. A particularly interesting approach is demonstrated in the Edinburgh pipe phantom which, with an accompanying mathematical transformation, produces a single figure of merit for image quality from individual measurements of resolution over a range of depths. However, the Edinburgh pipe phantom still requires time-consuming manual scanning, mitigating against its routine use. This paper presents a means to overcome this limitation with a new device, termed the Dundee dynamic phantom, allowing rapid set-up and automated operation. The Dundee dynamic phantom is based on imaging two filamentary targets, positioned by computer control at different depths in a tank of 9.4% ethanol-water solution. The images are analysed in real time to assess if the targets are resolved, with individual measurements at different depths again used to calculate a single figure of merit, in this case for lateral resolution only. Test results are presented for a total of 18 scanners in clinical use for different applications. As a qualitative indication of viability, the figure of merit produced by the Dundee dynamic phantom is shown to differentiate between scanners operating at different frequencies and between a relatively new, higher quality system and an older, lower quality system.

Entities:  

Keywords:  Ultrasound; dynamic phantom; quality assurance; resolution integral; test object

Year:  2014        PMID: 27433220      PMCID: PMC4760548          DOI: 10.1177/1742271X14549591

Source DB:  PubMed          Journal:  Ultrasound        ISSN: 1742-271X


  8 in total

1.  Quality assurance for grey-scale imaging.

Authors:  E L Madsen
Journal:  Ultrasound Med Biol       Date:  2000-05       Impact factor: 2.998

2.  A review of two alternative ultrasound quality assurance programmes.

Authors:  N J Dudley; K Griffith; G Houldsworth; M Holloway; M A Dunn
Journal:  Eur J Ultrasound       Date:  2001-03

3.  The resolution integral: visual and computational approaches to characterizing ultrasound images.

Authors:  T J MacGillivray; W Ellis; S D Pye
Journal:  Phys Med Biol       Date:  2010-08-11       Impact factor: 3.609

4.  Quality assurance in diagnostic ultrasound.

Authors:  Outi Sipilä; Vilma Mannila; Eija Vartiainen
Journal:  Eur J Radiol       Date:  2010-12-08       Impact factor: 3.528

5.  Measurement of the speed of sound in ethanol/water mixtures.

Authors:  K Martin; D Spinks
Journal:  Ultrasound Med Biol       Date:  2001-02       Impact factor: 2.998

6.  Investigating the efficacy of current quality assurance performance tests in diagnostic ultrasound.

Authors:  N M Donofrio; J A Hanson; J H Hirsch; W E Moore
Journal:  J Clin Ultrasound       Date:  1984-06       Impact factor: 0.910

7.  A comparison of the imaging performance of high resolution ultrasound scanners for preclinical imaging.

Authors:  Carmel M Moran; Stephen D Pye; William Ellis; Anna Janeczko; Keith D Morris; Alan S McNeilly; Hamish M Fraser
Journal:  Ultrasound Med Biol       Date:  2011-01-21       Impact factor: 2.998

8.  Phantom-based quality assurance measurements in B-mode ultrasound.

Authors:  Vilma Mannila; Outi Sipilä
Journal:  Acta Radiol Short Rep       Date:  2013-12-11
  8 in total

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