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) |
|---|---|
| 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 |
|---|---|
| Country | Canada |
| City | Calgary |
| Period | 4/15/18 → 4/20/18 |
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Keywords
- Low rank plus sparse
- Microvasculature
- Slow flow
- Tissue motion
- Ultrasound Doppler
ASJC Scopus subject areas
- Software
- Signal Processing
- Electrical and Electronic Engineering
Cite this
Concurrent Clutter and Noise Suppression via Low Rank Plus Sparse Optimization for Non-Contrast Ultrasound Flow Doppler Processing in Microvasculature. / Bayat, Mahdi; Fatemi, Mostafa.
2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Vol. 2018-April Institute of Electrical and Electronics Engineers Inc., 2018. p. 1080-1084 8461638.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Concurrent Clutter and Noise Suppression via Low Rank Plus Sparse Optimization for Non-Contrast Ultrasound Flow Doppler Processing in Microvasculature
AU - Bayat, Mahdi
AU - Fatemi, Mostafa
PY - 2018/9/10
Y1 - 2018/9/10
N2 - 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.
AB - 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.
KW - Low rank plus sparse
KW - Microvasculature
KW - Slow flow
KW - Tissue motion
KW - Ultrasound Doppler
UR - http://www.scopus.com/inward/record.url?scp=85054261977&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85054261977&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2018.8461638
DO - 10.1109/ICASSP.2018.8461638
M3 - Conference contribution
AN - SCOPUS:85054261977
SN - 9781538646588
VL - 2018-April
SP - 1080
EP - 1084
BT - 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
ER -