Evanescent Wave Filtering for Ultrasound RF-Data Compression

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Abstract

Multistatic imaging techniques, such as Synthetic Aperture Ultrasound (SAU) or Plane Wave Imaging (PWI), offer several advantages in terms of image quality for diagnostic ultrasound imaging. However, the vast amount of data generated by these methods can be challenging to process and store. To address this issue, various compression techniques have been developed. In this work, we propose a compression method based on a physical approach utilizing evanescent wave components in the radio frequency (RF) data. The basic idea behind our approach is to eliminate the higher frequencies in the data that are no longer necessary, due to the limited spatial sampling frequency. By doing so, we can reduce the amount of data without sacrificing noticeable amounts of image quality, as shown by simulation results. An additional advantage of our approach is that no decompression steps have to be conducted if the image reconstruction algorithm operates in the spatial frequency-domain.

Details

Original languageEnglish
Title of host publicationWireless Mobile Communication and Healthcare - 12th EAI International Conference, MobiHealth 2023, Proceedings
EditorsAntónio Cunha, Anselmo Paiva, Sandra Pereira
Pages33-44
Number of pages12
Publication statusPublished - 28 Jun 2024
Peer-reviewedYes

External IDs

ORCID /0000-0001-5921-9478/work/163294954
ORCID /0000-0002-0676-6926/work/163295476
Scopus 85199763940
Mendeley 9b944bb5-5a3c-3ec5-b00d-703b5bf04f0e

Keywords

ASJC Scopus subject areas

Keywords

  • diagnostic ultrasound, evanescent-wave-filtering, Fourier-based data-compression, multistatic-imaging, radio-frequency-data-compression, spatial-frequency-filtering