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  4. A sparse regularization approach for ultrafast ultrasound imaging
 
conference paper

A sparse regularization approach for ultrafast ultrasound imaging

Carrillo, Rafael  
•
Besson, Adrien Georges Jean  
•
Zhang, Miaomiao
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2015
2015 IEEE International Ultrasonics Symposium (IUS)
IEEE International Ultrasonics Symposium

Ultrafast imaging based on plane-wave (PW) in- sonification is an active area of research due to its capability of reaching high frame rates. Several approaches have been proposed either based on either of Fourier-domain reconstruction or on delay-and-sum (DAS) reconstruction. Using a single PW, these techniques achieve low quality, in terms of resolution and contrast, compared to the classic DAS method with focused beams. To overcome this drawback, compounding of several steered PWs is needed, which currently decreases the high frame rate limit that could be reached by such techniques. Based on a compressed sensing (CS) framework, we propose a new method that allows the reconstruction of high quality ultrasound (US) images from only 1 PW at the expense of augmenting the computational complexity at the reconstruction.

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