Real-time diagnostic imaging is a major advantage of ultrasound medical systems. Image distortion, caused by tissue in-homogeneities and cluttering effects, may be reduced by applying aperture-domain processing. In order to accommodate real-time processing of array signals, software-based ultrasonic imaging architectures have been developed. Such systems consist of a front-end analog data acquisition component, and a back-end digital signal processor. However, the main bottleneck lies in the data transfer rate (typically Glga-bits/sec). In order to address this limitation, it was previously suggested to integrate real-time data compression into the design process of the imaging systems. We take this approach one step further, and propose a combined compression and de-cluttering scheme, namely: SimDeCCom (Simultaneous De-Cluttering and Compression for Real-Time Ultrasound Imaging). SimDeCCom is an adaptive RF data compression scheme, where compression is adaptively applied such that maximal fidelity is obtained with respect to a desired output image, which is a de-cluttered version of the original image. In addition, the proposed algorithm enables to attain a chosen target bit-rate, such as to accommodate hardware implementation constraints. We demonstrate SimDeCCom's performance for echo-cardiac data.
|Journal||IEEE International Ultrasonics Symposium, IUS|
|State||Published - 2021|
|Event||2021 IEEE International Ultrasonics Symposium, IUS 2021 - Virtual, Online, China|
Duration: 11 Sep 2011 → 16 Sep 2011
Bibliographical noteFunding Information:
This work was supported by the Israeli Ministry of Science and Technology and by the Ollendorff Minerva Centre of the Andrew and Erna Viterbi Faculty of Electrical and Computer Engineering at the Technion - Israel Institute of Technology. Minerva is funded through the BMBF.
© 2021 IEEE.
- Real-time ultrasound imaging
- RF data
ASJC Scopus subject areas
- Acoustics and Ultrasonics