Detecting failed elements on phased array ultrasound transducers using the Edinburgh Pipe Phantom

Welsh, Daniel A.; Inglis, Scott; Pye, S. D.

doi:10.1177/1742271x15613819

Cited by 5 publications

(7 citation statements)

References 5 publications

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“…In addition, the resolution integral has been used to characterize high-frequency preclinical ultrasound scanners utilizing single-element, array and annular-array transducers [13][14][15]. Additionally, the resolution integral was used to detect inactive transducer array elements [16], while independently, other groups used a test phantom containing a step-change in backscatter to make measurements of the resolution integral in the scan and elevation planes [17] and elsewhere two filament targets were used to assess the performance of ultrasound transducers based on their lateral resolution and to calculate the resolution integral [18].…”

Section: Introductionmentioning

confidence: 99%

The Imaging Performance of Diagnostic Ultrasound Scanners Using the Edinburgh Pipe Phantom to Measure the Resolution Integral – 15 Years of Experience

et al. 2020

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The grayscale imaging performance of a total of 368 different scanner/transducer combinations from 39 scanner manufacturers measured over a period of 15 years is presented. Performance was measured using the resolution integral, a single figure-of-merit to quantify ultrasound imaging performance. The resolution integral was measured using the Edinburgh Pipe Phantom. Transducers included single element, linear, phased, curvilinear and multi-row arrays. Our results demonstrate that the resolution integral clearly differentiates between transducers with varying levels of performance. Two further parameters were also derived from the resolution integral: characteristic resolution and depth of field. We demonstrate that these two parameters can successfully characterize individual transducer performance and differentiate between transducers designed for different clinical and preclinical applications. In conclusion, the resolution integral is an effective metric to quantify and monitor grayscale imaging performance in clinical practice.

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Section: Introductionmentioning

confidence: 99%

The Imaging Performance of Diagnostic Ultrasound Scanners Using the Edinburgh Pipe Phantom to Measure the Resolution Integral – 15 Years of Experience

et al. 2020

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“…Reduction in LCP has the potential to identify real faults in phased array probes, as put forward by Welsh et al 19 when testing simulated failed elements.…”

Section: Discussionmentioning

confidence: 99%

“…Welsh et al. 19 established that simulated failed elements in phased array probes led to a reduction in the resolution integral. A smaller reduction was also seen in low-contrast penetration (LCP); however, the sensitivity of the measurement was still able to detect changes to the probe's performance.…”

Section: Methodsmentioning

confidence: 99%

“…17,18 The resolution integral calculated from measurements made with this test object can be used to characterise grey scale imaging performance. Welsh et al 19 established that simulated failed elements in phased array probes led to a reduction in the resolution integral. A smaller reduction was also seen in low-contrast penetration (LCP); however, the sensitivity of the measurement was still able to detect changes to the probe's performance.…”

Section: Image Quality Testmentioning

confidence: 99%

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Quality assurance testing of transoesophageal echocardiography probes

et al. 2016

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Introduction: In response to an ultrasound imaging issue with transoesophageal echocardiography probes, a testing protocol was developed to check features pertinent to the operation of these probes. The imaging problem was detected in multiple probes of the same make and model. Methods: Over a two-year period, a series of 26 probes of this model were tested at acceptance, then three to six months later before being replaced due to a defect. A range of visual, mechanical and electrical tests were performed. Image tests comprised low-contrast penetration measurements and a comparison of phantom images at regular intervals to highlight artefacts in both B-mode and colour Doppler imaging. Results: Of the 26 defective probes replaced, 7 suffered mechanical/electrical problems, 5 of which prevented imaging results being obtained. Low-contrast penetration reduction of greater than 5% occurred in 14 probes. B-mode artefacts were observed on 12 probes and Doppler noise artefacts on 6 probes. No faults were found on five probes. The manufacturer addressed the imaging problem identified and of the seven subsequent probes supplied, only one suffered an imaging fault. Conclusions: The implementation of a quality assurance protocol for transoesophageal echocardiography probes resulted in cost savings on replacements/repairs. When provided with the evidence gathered, the manufacturer supplied 23 probes under warranty or as loan equipment. The regular testing of the probes substantially reduced the impact of downtime and poor diagnosis from this equipment on the clinical service.

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“…To date, there have been no studies suggesting any method of evaluating the quality of ultrasound examinations similar to the one we are proposing. Although there have been studies focusing on the technical aspects of the equipment ( 4 , 5 ) , the technical parameters related to training methods ( 6 ) , and the influence of image quality on specific diagnoses ( 7 - 9 ) , there have been none focusing on the quality of the examination performed and reported by medical professionals.…”

Section: Introductionmentioning

confidence: 99%

Reproducibility of a quantitative system for assessing the quality of diagnostic ultrasound

et al. 2018

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ObjectiveTo present a quantitative system for assessing the quality of ultrasound examinations-SQUALUS-and to determine its reproducibility, taking into consideration the images on file, as well as the consistency between the images obtained and the final report.Materials and MethodsThe system includes questions related to the number of images; the appropriateness of images in relation to the protocol established; focus adjustment; depth; gain; and appropriateness of the measurements for B-mode examinations. For Doppler examinations, the system includes questions related to the appropriateness of color images, the spectral analysis, and correction of the insonation angle. To assess the quality of the report, the system includes questions related to the consistency between the images obtained and the contents of the report. An overall numerical score was assigned by averaging the scores for image quality and for the contents of the report. Two independent examiners, each blinded to the evaluation of the other, assessed 30 different types of ultrasound examinations.ResultsThere was statistically significant agreement between the two examiners for 8 of the 10 questions related to image quality. For the questions related to the quality of the reports, the interexaminer agreement was almost perfect.ConclusionThe proposed quantitative system for assessing the quality of ultrasound examinations is a reproducible tool that can be used in audits and accreditation programs.

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Detecting failed elements on phased array ultrasound transducers using the Edinburgh Pipe Phantom

Cited by 5 publications

References 5 publications

The Imaging Performance of Diagnostic Ultrasound Scanners Using the Edinburgh Pipe Phantom to Measure the Resolution Integral – 15 Years of Experience

The Imaging Performance of Diagnostic Ultrasound Scanners Using the Edinburgh Pipe Phantom to Measure the Resolution Integral – 15 Years of Experience

Quality assurance testing of transoesophageal echocardiography probes

Reproducibility of a quantitative system for assessing the quality of diagnostic ultrasound

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