A preliminary study on a novel approach to the assessment of the sample volume length and registration accuracy in PW Doppler quality control

Fiori, Giorgia; Scorza, Andrea; Schmid, Maurizio; Galo, Jan; Conforto, Silvia; Sciuto, Salvatore Andrea

doi:10.1109/memea54994.2022.9856474

Cited by 2 publications

(10 citation statements)

References 14 publications

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“…The velocity profile discrepancy index provides an estimation of faults in sample volume length and range gate registration accuracy [15,16], by quantifying the discrepancy between the actual velocities and the theoretical parabolic profile (under laminar flow assumption). As in [15,16], the sample volume (SV) was placed at six depths (from 35 to 37 mm and from 39 to 41 mm with steps of 1 mm) corresponding to six different positions with respect to the radius of the phantom tube. The objective measurement method estimates the mean maximum velocity vPW for each pre-set SV depth, and calculates VPDI [15,16] as in the following:…”

Section: B Test Parametersmentioning

confidence: 99%

“…As in [15,16], the sample volume (SV) was placed at six depths (from 35 to 37 mm and from 39 to 41 mm with steps of 1 mm) corresponding to six different positions with respect to the radius of the phantom tube. The objective measurement method estimates the mean maximum velocity vPW for each pre-set SV depth, and calculates VPDI [15,16] as in the following:…”

Section: B Test Parametersmentioning

confidence: 99%

“…where N is the number of collected PWD spectrograms, vpar is the velocity value retrieved from the theoretical parabolic profile for a specific position with respect to the tube radius, and tot is the total standard deviation estimated by considering the following uncertainty contributions [15,16]: the intrinsic flow dispersion of the maximum velocities, the electronic noise superimposed on the spectrogram and the uncertainty in the sample volume positioning with respect to the radius.…”

Section: B Test Parametersmentioning

confidence: 99%

“…Tests were carried out on an intermediate technology level ultrasound system equipped with a linear array probe operating at two Doppler frequencies. PWD performance was assessed in terms of Average Maximum Velocity Sensitivity (AMVS) [14], Velocity Measurements Accuracy (VeMeA), Velocity Profile Discrepancy Index (VPDI) [15,16] and Lowest Detectable Signal (LDS) [17]. Each parameter was estimated from PWD data postprocessed through objective image analysis-based methods implemented in MATLAB environment.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Novel quality assessment protocol based on Kiviat diagram for pulsed wave Doppler diagnostic systems: first results

Fiori,

Bocchetta,

Schmid

et al. 2023

Proceedings of the 26th IMEKO TC4 International Symposium and 24th International Workshop on ADC/DAC Modelling and Testing

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Ultrasound (US) systems are routinely and extensively used in several medical fields despite the lack of an internationally accepted quality standard for their testing. One crucial aspect for Quality Assessment (QA) protocols is the need to summarize the contribution of the large number of existing test parameters in a few meaningful quantities. The study herein proposed fits into this context, focusing on the use of the Kiviat diagram applied to Pulsed Wave Doppler (PWD) equipment QA. Four test parameters, derived from the literature, were objectively assessed through custom-written image analysis-based methods and then scaled for an effective combination. The experimental setup used to collect PWD spectrograms included an intermediate technology level US diagnostic system equipped with a linear array probe and a commercial Doppler flow phantom. Tests were repeated at two Doppler frequencies.

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Section: B Test Parametersmentioning

confidence: 99%

Section: B Test Parametersmentioning

confidence: 99%

Section: B Test Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Novel quality assessment protocol based on Kiviat diagram for pulsed wave Doppler diagnostic systems: first results

Fiori,

Bocchetta,

Schmid

et al. 2023

Proceedings of the 26th IMEKO TC4 International Symposium and 24th International Workshop on ADC/DAC Modelling and Testing

View full text Add to dashboard Cite

show abstract

“…From the abovementioned considerations, the present study would give a contribution to the field of QCs for Doppler equipment testing, by proposing a comparative investigation of the Velocity Profile Discrepancy Index (VPDI), a quality parameter developed for the objective assessment of both SV length and range gate registration accuracy. The index, preliminarily defined and tested in [26], is estimated from the processing of PW Doppler spectrograms by means of a customwritten image analysis method developed in MATLAB environment. Three brand-new US diagnostic systems, each of them equipped with two ultrasound probes (convex and phased array) were tested in two working conditions.…”

Section: Introductionmentioning

confidence: 99%

Sample volume length and registration accuracy assessment in quality controls of PW Doppler diagnostic systems: a comparative study

et al. 2023

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In clinical diagnostics, Pulsed Wave (PW) Doppler is one of the most used spectral Doppler techniques since it provides quantitative information about the severity of several cardiac disorders. Therefore, routine quality control tests should be scheduled to check whether a proper level of performance is maintained over time. Despite continuous research in the field, performance evaluation of Doppler equipment is still an open issue. Therefore, the present study is focused on the comparative investigation based on a test parameter for the automatic analysis of faults in sample volume length and range gate registration accuracy. The Velocity Profile Discrepancy Index (VPDI) provides a quantitative estimation according to the agreement between the theoretical parabolic velocity profile and the measured one. The index was assessed through an automatic method that post-processes PW spectrogram images acquired at six sample volume depths with respect to the vessel radius of a Doppler reference device. Tests were repeated for three brand-new ultrasound diagnostic systems, equipped with convex and phased array probes, in two working conditions. From the analysis of the results, a lower discrepancy between the measured and the theoretical velocity profile was found for the convex array probes as well as a lower uncertainty contribution.

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A preliminary study on a novel approach to the assessment of the sample volume length and registration accuracy in PW Doppler quality control

Cited by 2 publications

References 14 publications

Novel quality assessment protocol based on Kiviat diagram for pulsed wave Doppler diagnostic systems: first results

Novel quality assessment protocol based on Kiviat diagram for pulsed wave Doppler diagnostic systems: first results

Sample volume length and registration accuracy assessment in quality controls of PW Doppler diagnostic systems: a comparative study

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