Mr. Prashant Verma Profile

Prashant Verma

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Proceedings Article | 20 March 2014 Paper

Synthetic aperture elastography: a GPU based approach

Prashant Verma, Marvin Doyley

Proceedings Volume 9040, 90401A (2014) https://doi.org/10.1117/12.2046374

KEYWORDS: Elastography, Ultrasonography, Imaging systems, Image quality standards, Signal to noise ratio, Real-time computing, Image quality, Signal processing, Digital signal processing, Graphics processing units

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Synthetic aperture (SA) ultrasound imaging system produces highly accurate axial and lateral displacement estimates; however, low frame rates and large data volumes can hamper its clinical use. This paper describes a real-time SA imaging based ultrasound elastography system that we have recently developed to overcome this limitation. In this system, we implemented both beamforming and 2D cross-correlation echo tracking on Nvidia GTX 480 graphics processing unit (GPU). We used one thread per pixel for beamforming; whereas, one block per pixel was used for echo tracking. We compared the quality of elastograms computed with our real-time system relative to those computed using our standard single threaded elastographic imaging methodology. In all studies, we used conventional measures of image quality such as elastographic signal to noise ratio (SNR_e). Specifically, SNR_e of axial and lateral strain elastograms computed with real-time system were 36 dB and 23 dB, respectively, which was numerically equal to those computed with our standard approach. We achieved a frame rate of 6 frames per second using our GPU based approach for 16 transmits and kernel size of 60 × 60 pixels, which is 400 times faster than that achieved using our standard protocol.

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