Title :
Mixer-based subarray beamforming for sub-Nyquist sampling ultrasound architectures
Author :
Spaulding, Jonathon ; Eldar, Yonina C. ; Murmann, Boris
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., Stanford, CA, USA
Abstract :
Ultrasound imagers suffer from a large data rate between their analog to digital converter (ADC) front-end and digital beamforming backend. This becomes a limiting factor when the number of elements is increased, such as in modern 2D transducers. To address this issue, prior work considered sub-Nyquist sampling techniques that exploit the disparity between the signal´s physical bandwidth and innovation rate. In this work, we extend this framework using an analog-domain subarray beamforming technique that is feasible due to the narrowband nature of the sub-Nyquist signal acquisition. When applied to waveforms taken from a commercial ultrasound machine, this method reduces both the low-rate ADC count by a factor of eight and the total data rate by a factor of 54 with minimal image degradation.
Keywords :
analogue-digital conversion; array signal processing; image sampling; signal detection; ultrasonic imaging; 2D transducer; ADC; analog-digital converter; analog-domain subarray beamforming technique; digital beamforming backend; front-end beamforming; image degradation; innovation rate; mixer-based subarray beamforming; signal physical bandwidth; subNyquist sampling technique; subNyquist sampling ultrasound architecture; subNyquist signal acquisition; ultrasound imager; Array signal processing; Mixers; Transducers; Ultrasonic imaging; Compressed Sensing; Sub-Nyquist Sampling; Subarray Beamforming; Ultrasound Imaging;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
Conference_Location :
South Brisbane, QLD
DOI :
10.1109/ICASSP.2015.7178096