Xampling in ultrasound imaging

Noam Wagner; Yonina C. Eldar; Arie Feuer; Gilad Danin; Zvi Friedman

doi:10.1117/12.877818

25 March 2011 Xampling in ultrasound imaging

Noam Wagner, Yonina C. Eldar, Arie Feuer, Gilad Danin, Zvi Friedman

Proceedings Volume 7968, Medical Imaging 2011: Ultrasonic Imaging, Tomography, and Therapy; 796818 (2011) https://doi.org/10.1117/12.877818
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

Abstract

Recent developments of new medical treatment techniques put challenging demands on ultrasound imaging systems in terms of both image quality and raw data size. Traditional sampling methods result in very large amounts of data, thus, increasing demands on processing hardware and limiting the flexibility in the postprocessing stages. In this paper, we apply Compressed Sensing (CS) techniques to analog ultrasound signals, following the recently developed Xampling framework. The result is a system with significantly reduced sampling rates which, in turn, means significantly reduced data size while maintaining the quality of the resulting images.

Citation Download Citation

Noam Wagner, Yonina C. Eldar, Arie Feuer, Gilad Danin, and Zvi Friedman "Xampling in ultrasound imaging", Proc. SPIE 7968, Medical Imaging 2011: Ultrasonic Imaging, Tomography, and Therapy, 796818 (25 March 2011); https://doi.org/10.1117/12.877818

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