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231225s2018 xx |||||o 00| ||eng c |
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|a 10.1109/TUFFC.2017.2768583
|2 doi
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|a eng
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| 100 |
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|a Besson, Adrien
|e verfasserin
|4 aut
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|a Ultrafast Ultrasound Imaging as an Inverse Problem
|b Matrix-Free Sparse Image Reconstruction
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|c 2018
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|a Text
|b txt
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|a Date Completed 14.02.2019
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|a Date Revised 15.02.2019
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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|a Conventional ultrasound (US) image reconstruction methods rely on delay-and-sum (DAS) beamforming, which is a relatively poor solution to the image reconstruction problem. An alternative to DAS consists in using iterative techniques, which require both an accurate measurement model and a strong prior on the image under scrutiny. Toward this goal, much effort has been deployed in formulating models for US imaging, which usually require a large amount of memory to store the matrix coefficients. We present two different techniques, which take advantage of fast and matrix-free formulations derived for the measurement model and its adjoint, and rely on sparsity of US images in well-chosen models. Sparse regularization is used for enhanced image reconstruction. Compressed beamforming exploits the compressed sensing framework to restore high-quality images from fewer raw data than state-of-the-art approaches. Using simulated data and in vivo experimental acquisitions, we show that the proposed approach is three orders of magnitude faster than non-DAS state-of-the-art methods, with comparable or better image quality
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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|a Perdios, Dimitris
|e verfasserin
|4 aut
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|a Martinez, Florian
|e verfasserin
|4 aut
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|a Chen, Zhouye
|e verfasserin
|4 aut
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|a Carrillo, Rafael E
|e verfasserin
|4 aut
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|a Arditi, Marcel
|e verfasserin
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|a Wiaux, Yves
|e verfasserin
|4 aut
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|a Thiran, Jean-Philippe
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on ultrasonics, ferroelectrics, and frequency control
|d 1986
|g 65(2018), 3 vom: 01. März, Seite 339-355
|w (DE-627)NLM098181017
|x 1525-8955
|7 nnns
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| 773 |
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|g volume:65
|g year:2018
|g number:3
|g day:01
|g month:03
|g pages:339-355
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|u http://dx.doi.org/10.1109/TUFFC.2017.2768583
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