PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 14, 2026The Journal of the Acoustical Society of America0 citations

Spectro-temporal signal analysis of twinkling artifacts from PMMA markers

View Full Paper
AMAbdullah Al MasudBWBenjamin WoodCLChristine Lee

Key Points

  • This research aims to investigate the spectral and temporal characteristics of twinkling artifacts generated by PMMA markers in ultrasound imaging.
  • Analyzed raw radiofrequency data with L7-4 transducer using beamforming and IQ demodulation.
  • Computed FFT magnitude spectra for both twinkling and non-twinkling cases across RF and IQ data.
  • Evaluated frequency content variations within individual Doppler pulses and across multiple frames.
  • Twinkling exhibited higher median normalized FFT magnitude (3–10 MHz) at -13.75 dB compared to metal at -17.29 dB.
  • Frequency spread above -20 dB was 2.5 times wider for twinkling (5.38 MHz) than for metal (1.95 MHz).
  • RMS standard deviation of the twinkling signal was about 28 times higher than that of the metal case across both RF and IQ data.

Abstract

Color Doppler twinkling improves visibility and ultrasound-guided localization of biopsy markers made of polymethyl methacrylate (PMMA). This study examines the time- and frequency-domain features of twinkling. We performed beamforming on the raw radiofrequency (RF) data collected using a L7-4 transducer, followed by in-phase/quadrature (IQ) demodulation and wall filtering. Frequency content variations were evaluated both within individual Doppler ensembles (pulse-to-pulse) and across multiple frames. Normalized FFT magnitude spectra were computed for both twinkling and non-twinkling (metal) cases using beamformed RF and IQ data. The median of the normalized FFT magnitude (3–10 MHz) was consistently higher for the twinkling case compared to the metal case across RF (–13.75 dB vs –17.29 dB) and the IQ real component (–12.72 dB vs –16.15 dB), indicating broader and more energetic spectral content in twinkling. The frequency spread above the –20 dB threshold was approximately 2.5 times wider (5.38 MHz vs 1.95 MHz) in the twinkling case compared to the metal case. In time domain, the RMS of the standard deviation for the twinkling signal was approximately 28 times higher than that of the metal case across both RF and IQ data. These findings indicate that the ultrasound data from twinkling exhibits a more distributed frequency profile, consistent with observed aperiodic nature.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Masud et al. (2025) studied this question.

synapsesocial.com/papers/6a05684ea550a87e60a20d42https://doi.org/10.1121/10.0040054
Ask AI
Helpful
Bookmark
Share
View Full Paper