A sparse regularization approach for ultrafast ultrasound imaging

来源 :2015两岸超声技术与医学研讨会 | 被引量 : 0次 | 上传用户:kk527319
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Background, Motivation and Objective Ultrafast imaging based on plane-wave (PW) insonification is an active area of research due to its capability of reaching high frame rates. Several approaches have been proposed based on either Fourier-domain reconstruction [Lu et al., IEEE UFFC97], [Garcia et al., IEEE UFFC13], [Bernard et al., IEEE IUS14], or delay-and-sum (DAS) reconstruction [Montaldo et al., IEEE UFFC09]. Using a single PW, these techniques achieve low quality, in terms of contrast, compared to the DAS method with focused beams. To overcome this drawback, compounding of several steered PWs is needed, which decreases the high frame rate limit. Based on a compressed sensing (CS) framework [ Candès et al., IEEE SPM09], we propose a new method that allows reconstruction of high quality ultrasound (US) images from only 3 PW at the expense of augmenting the computational complexity at the reconstruction.
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