Frequency Domain Compressive Sampling for Ultrasound Imaging

Compressed sensing or compressive sampling is a recent theory that originated in the applied mathematics field. It suggests a robust way to sample signals or images below the classic Shannon-Nyquist theorem limit. This technique has led to many applications, and has especially been successfully used...

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Bibliographic Details
Published inAdvances in Acoustics and Vibration Vol. 2012; no. 2012; pp. 88 - 103
Main Authors Quinsac, Céline, Kouamé, Denis, Basarab, Adrian
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Limiteds 01.01.2012
Hindawi Puplishing Corporation
Hindawi Publishing Corporation
Hindawi Limited
SeriesAdvances in Acoustic Sensing, Imaging, and Signal Processing
Subjects
Computer Science
Fourier transforms
Medical imaging
Methods
Protocol
Signal and Image Processing
Sparsity
Studies
Tomography
United States > US
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Summary:Compressed sensing or compressive sampling is a recent theory that originated in the applied mathematics field. It suggests a robust way to sample signals or images below the classic Shannon-Nyquist theorem limit. This technique has led to many applications, and has especially been successfully used in diverse medical imaging modalities such as magnetic resonance imaging, computed tomography, or photoacoustics. This paper first revisits the compressive sampling theory and then proposes several strategies to perform compressive sampling in the context of ultrasound imaging. Finally, we show encouraging results in 2D and 3D, on high- and low-frequency ultrasound images.
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ISSN:1687-6261
1687-627X
1687-6261
DOI:10.1155/2012/231317