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Xampling in Ultrasound Imaging

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

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 exibility in the post-processing 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.Comment: 17 pages, 9 Figures. Introduced in SPIE Medical Imaging Conference, Orlando Florida, 201

Topics: Computer Science - Information Theory, Physics - Medical Physics
Year: 2011
DOI identifier: 10.1117/12.877818
OAI identifier: oai:arXiv.org:1104.5327
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