Compressed delay-and-sum beamforming for ultrafast ultrasound imaging

The theory of compressed sensing (CS) leverages upon structure of signals in order to reduce the number of samples needed to reconstruct a signal, compared to the Nyquist rate. Although CS approaches have been proposed for ultrasound (US) imaging with promising results, practical implementations are hard to achieve due to the impossibility to mimic random sampling on a US probe and to the high memory requirements of the measurement model. In this paper, we propose a CS framework for US imaging based on an easily implementable acquisition scheme and on a delay-and-sum measurement model.


Published in:
2016 Ieee International Conference On Image Processing (Icip), 2509-2513
Presented at:
International Conference on Image Processing (ICIP), Phoenix, Arizona, USA, September 25-28, 2016
Year:
2016
Publisher:
New York, Ieee
ISSN:
1522-4880
ISBN:
978-1-4673-9961-6
Keywords:
Laboratories:




 Record created 2016-02-08, last modified 2018-09-13

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