Chen, Zhouye and Zhao, Ningning and Basarab, Adrian and Kouamé, Denis Ultrasound compressive deconvolution with lp-norm prior. (2015) In: 23rd European Signal and Image Processing Conference (EUSIPCO 2015), 31 August 2015 - 4 September 2015 (Nice, France).
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Official URL: http://dx.doi.org/10.1109/EUSIPCO.2015.7362893
Abstract
It has been recently shown that compressive sampling is an interesting perspective for fast ultrasound imaging. This paper addresses the problem of compressive deconvolution for ultrasound imaging systems using an assumption of generalized Gaussian distributed tissue reflectivity function. The benefit of compressive deconvolution is the joint volume reduction of the acquired data and the image resolution improvement. The main contribution of this work is to apply the framework of compressive deconvolution on ultrasound imaging and to propose a novel ℓp-norm (1 ≤ p ≤ 2) algorithm based on Alternating Direction Method of Multipliers. The performance of the proposed algorithm is tested on simulated data and compared with those obtained by a more intuitive sequential compressive deconvolution method.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Thanks to IEEE Xplore. The definitive version is available at: http://ieeexplore.ieee.org/Xplore/home.jsp Electronic ISBN: 978-0-9928-6263-3 Electronic ISSN: 2076-1465 The original PDF of the article can be found at: http://ieeexplore.ieee.org/document/7362893/?arnumber=7362893 |
HAL Id: | hal-01371792 |
Audience (conference): | International conference proceedings |
Uncontrolled Keywords: | |
Institution: | Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE) French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE) Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE) Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE) Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE) |
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Deposited On: | 08 Sep 2016 08:24 |
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