Research Article
Evanescent Wave Filtering for Ultrasound RF-Data Compression
@INPROCEEDINGS{10.1007/978-3-031-60665-6_3, author={Edgar M. G. Dorausch and Moritz Herzog and Cornelius K\'{y}hn\o{}l and Daniel Swist and T\o{}nnis Trittler and Julian Kober and Gerhard Fettweis}, title={Evanescent Wave Filtering for Ultrasound RF-Data Compression}, proceedings={Wireless Mobile Communication and Healthcare. 12th EAI International Conference, MobiHealth 2023, Vila Real, Portugal, November 29-30, 2023 Proceedings}, proceedings_a={MOBIHEALTH}, year={2024}, month={6}, keywords={diagnostic ultrasound multistatic-imaging radio-frequency-data-compression evanescent-wave-filtering spatial-frequency-filtering Fourier-based data-compression}, doi={10.1007/978-3-031-60665-6_3} }- Edgar M. G. Dorausch
Moritz Herzog
Cornelius Kühnöl
Daniel Swist
Tönnis Trittler
Julian Kober
Gerhard Fettweis
Year: 2024
Evanescent Wave Filtering for Ultrasound RF-Data Compression
MOBIHEALTH
Springer
DOI: 10.1007/978-3-031-60665-6_3
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.
