Abstract
A low rank plus sparse framework for concurrent clutter and noise suppression in Doppler processing of echo ensembles obtained by non-contrast ultrasound imaging is presented. A low rank component which represents mostly strong tissue clutter signal and a sparse component which represents mostly blood echoes received from slow flows in microvasculature are assumed. The proposed method is applied to simulated data and its superior performance over conventional singular value thresholding in removing clutter and background noise is presented.
Original language | English (US) |
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Title of host publication | 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1080-1084 |
Number of pages | 5 |
Volume | 2018-April |
ISBN (Print) | 9781538646588 |
DOIs | |
State | Published - Sep 10 2018 |
Externally published | Yes |
Event | 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Calgary, Canada Duration: Apr 15 2018 → Apr 20 2018 |
Other
Other | 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 |
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Country | Canada |
City | Calgary |
Period | 4/15/18 → 4/20/18 |
Keywords
- Low rank plus sparse
- Microvasculature
- Slow flow
- Tissue motion
- Ultrasound Doppler
ASJC Scopus subject areas
- Software
- Signal Processing
- Electrical and Electronic Engineering