Literature DB >> 11839415

A computerised quality control testing system for B-mode ultrasound.

N M Gibson1, N J Dudley, K Griffith.   

Abstract

Current methods of ultrasound (US) imaging quality control involve an observer taking a series of measurements on test object images. This process is very labour-intensive, rapidly becoming more so as the complexity of US scanners increases. Also, many of the measurements are based on the subjective judgement of the operator and are, therefore, prone to an undesirable level of intraobserver and interobserver variation. We have developed a suite of programs to analyse captured US images to estimate a number of performance parameters, including resolution, high- and low-contrast penetration depths and high- and low-contrast sensitivity. In this system, images of the ATS Laboratories Multipurpose Phantom Model 539 are acquired on a PC with a video capture card, and analysed using the software developed. Automated tests have been developed for resolution, low- and high-contrast penetration and low- and high-contrast sensitivity. A preliminary validation of the system was carried out using images from two curvilinear probes and a linear-array probe operating at 5 MHz, 7.5 MHz and 10 MHz, respectively. The 95% confidence intervals ranged from +/- 17% to +/- 21% for resolution measurements and from 0% to +/- 1.5% for low-contrast penetration. The system provides an index of visibility for high- and low-contrast targets, as compared to the coarse visual assessment of a human observer, with 95% confidence intervals ranging from +/- 6% to +/- 13% for low-contrast sensitivity and from +/- 3% to +/- 25% for high-contrast sensitivity. Advantages of the system over the human observer include improved reproducibility and increased information regarding visibility of targets. A more detailed multicentre validation is currently being undertaken.

Entities:  

Mesh:

Year:  2001        PMID: 11839415     DOI: 10.1016/s0301-5629(01)00479-3

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  11 in total

1.  Mechanical and clinical performance of pulse-inversion tissue harmonic imaging in the superficial region.

Authors:  Chieko Sugawara; Akira Takahashi
Journal:  J Med Ultrason (2001)       Date:  2010-03-18       Impact factor: 1.314

2.  The feasibility of implementation of ultrasound equipment standards set by United Kingdom professional bodies.

Authors:  Nicholas J Dudley; Debbie Harries; Jessica Wardle
Journal:  Ultrasound       Date:  2017-01-23

3.  Automated quality assessment in three-dimensional breast ultrasound images.

Authors:  Julia Schwaab; Yago Diez; Arnau Oliver; Robert Martí; Jan van Zelst; Albert Gubern-Mérida; Ahmed Bensouda Mourri; Johannes Gregori; Matthias Günther
Journal:  J Med Imaging (Bellingham)       Date:  2016-04-25

4.  Early experience with automated B-mode quality assurance tests.

Authors:  N J Dudley; N M Gibson
Journal:  Ultrasound       Date:  2013-12-19

5.  A case study in scanner optimisation.

Authors:  N J Dudley; N M Gibson
Journal:  Ultrasound       Date:  2013-12-19

6.  Method for automatic detection of defective ultrasound linear array transducers based on uniformity assessment of clinical images - A case study.

Authors:  Robert Lorentsson; Nasser Hosseini; Jan-Olof Johansson; Wiebke Rosenberg; Benny Stenborg; Lars Gunnar Månsson; Magnus Båth
Journal:  J Appl Clin Med Phys       Date:  2018-01-11       Impact factor: 2.102

7.  Evaluation of Imaging Parameters of Ultrasound Scanners: Baseline for Future Testing.

Authors:  Ewa Fabiszewska; Katarzyna Pasicz; Iwona Grabska; Witold Skrzyński; Wioletta Ślusarczyk-Kacprzyk; Wojciech Bulski
Journal:  Pol J Radiol       Date:  2017-12-15

8.  Intra- and interobserver reliability of gray scale/dynamic range evaluation of ultrasonography using a standardized phantom.

Authors:  Song Lee; Joon-Il Choi; Michael Yong Park; Dong Myung Yeo; Jae Young Byun; Seung Eun Jung; Sung Eun Rha; Soon Nam Oh; Young Joon Lee
Journal:  Ultrasonography       Date:  2014-02-26

9.  Automated quality control of ultrasound based on in-air reverberation patterns.

Authors:  Pepijn van Horssen; Arnold Schilham; Dennis Dickerscheid; Niels van der Werf; Han Keijzers; Ronald van Almere; Joost Kuijer; Rob Peters; Mark Hofman
Journal:  Ultrasound       Date:  2017-09-29

10.  Evaluations of UltraiQ software for objective ultrasound image quality assessment using images from a commercial scanner.

Authors:  Zaiyang Long; Donald J Tradup; Scott F Stekel; Krzysztof R Gorny; Nicholas J Hangiandreou
Journal:  J Appl Clin Med Phys       Date:  2018-01-16       Impact factor: 2.102

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