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Proceedings Paper

Xampling in ultrasound imaging
Author(s): Noam Wagner; Yonina C. Eldar; Arie Feuer; Gilad Danin; Zvi Friedman
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Paper 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.

Paper Details

Date Published: 25 March 2011
PDF: 17 pages
Proc. SPIE 7968, Medical Imaging 2011: Ultrasonic Imaging, Tomography, and Therapy, 796818 (25 March 2011); doi: 10.1117/12.877818
Show Author Affiliations
Noam Wagner, Technion-Israel Institute of Technology (Israel)
Yonina C. Eldar, Technion-Israel Institute of Technology (Israel)
Stanford Univ. (United States)
Arie Feuer, Technion-Israel Institute of Technology (Israel)
Gilad Danin, Technion-Israel Institute of Technology (Israel)
Zvi Friedman, GE Healthcare (Israel)


Published in SPIE Proceedings Vol. 7968:
Medical Imaging 2011: Ultrasonic Imaging, Tomography, and Therapy
Jan D'hooge; Marvin M. Doyley, Editor(s)

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