Doppler Flow phantom Stability Assessment through STFT Technique in Medical PW Doppler: a preliminary study

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

doi:10.1109/metroind4.0iot51437.2021.9488513

Cited by 3 publications

(8 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where N is the sample window length and CF is a correction factor varying according to the chosen window amplitude [21]. Therefore, (4) has the advantage of taking the applied window type into account.…”

Section: Emd Ica and Stft Techniquesmentioning

confidence: 99%

“…The third step is the STFT application, according to (3) and ( 4), to vp,low(t) and vp,high(t), with the settings reported in Table 1. As already done in [21], the spectral window chosen is the Hanning window, whose expression is the following:…”

Section: Emodica-stft Simulated Applicationmentioning

confidence: 99%

“…In this case, where a frequency range between 5 and 30 Hz was considered, Ffr = 25 Hz. The choice to reduce the frequency range in which the detection is carried out was necessary to compensate for non-ideal pulses [21].…”

Section: Emodica-stft Simulated Applicationmentioning

confidence: 99%

“…In the present study, the EMoDICA-STFT method for the phantom failures assessment, implemented in MATLAB, is proposed as an improvement of a procedure previously described in [21]. This is achieved through the experimental setup described in the following section.…”

Section: Materials and Experimental Datamentioning

confidence: 99%

“…In such a context, the present study focuses on the improvement and testing of a previously developed Short Time Fourier Transform-based image analysis method [21] for the automatic detection of the main Doppler flow instabilities that may arise. The proposed improved method is based on the application of Empirical Mode Decomposition (EMD) and Independent Component Analysis (ICA) techniques combined with the Short Time Fourier Transform (STFT), namely EMoDICA-STFT, to automatically evaluate the phantom failures through Pulsed Wave (PW) Doppler spectrograms.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Doppler flow phantom failure detection by combining empirical mode decomposition and independent component analysis with short time Fourier transform

et al. 2021

Self Cite

View full text Add to dashboard Cite

<p class="Abstract">Nowadays, objective protocols and criteria for the monitoring of phantoms failures are still lacking in literature, despite their technical limitations. In such a context, the present work aims at providing an improvement of a previously proposed method for the Doppler flow phantom failures detection. Such failures were classified as low frequency oscillations, high velocity pulses and velocity drifts. The novel objective method, named EMoDICA-STFT, is based on the combined application of the Empirical Mode Decomposition (EMD), Independent Component Analysis (ICA) and Short Time Fourier Transform (STFT) techniques on Pulsed Wave (PW) Doppler spectrograms. After a first series of simulations and the determination of adaptive thresholds, phantom failures were detected on real PW spectrograms through the EMoDICA-STFT method. Data were acquired from two flow phantom models set at five flow regimes, through a single ultrasound (US) diagnostic system equipped with a linear, a convex and a phased array probe, as well as with two configuration settings. Despite the promising outcomes, further studies should be carried out on a greater number of Doppler phantoms and US systems as well as including an in-depth investigation of the proposed method uncertainty.</p>

show abstract

Section: Emd Ica and Stft Techniquesmentioning

confidence: 99%

Section: Emodica-stft Simulated Applicationmentioning

confidence: 99%

Section: Emodica-stft Simulated Applicationmentioning

confidence: 99%

Section: Materials and Experimental Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Doppler flow phantom failure detection by combining empirical mode decomposition and independent component analysis with short time Fourier transform

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

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

Fiori

Scorza

Schmid

et al. 2022

2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)

View full text Add to dashboard Cite

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

et al. 2023

View full text Add to dashboard Cite

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.

show abstract

Doppler Flow phantom Stability Assessment through STFT Technique in Medical PW Doppler: a preliminary study

Cited by 3 publications

References 8 publications

Doppler flow phantom failure detection by combining empirical mode decomposition and independent component analysis with short time Fourier transform

Doppler flow phantom failure detection by combining empirical mode decomposition and independent component analysis with short time Fourier transform

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

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

Contact Info

Product

Resources

About