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Ultrasound image reconstruction from compressed measurements using approximate message passing

Kim, Jong-Hoon and Basarab, Adrian and Hill, Paul and Bull, David and Kouamé, Denis and Achim, Alin Marian Ultrasound image reconstruction from compressed measurements using approximate message passing. (2016) In: 24th European Signal and Image Processing Conference (EUSIPCO 2016), 29 August 2016 - 2 September 2016 (Budapest, Hungary).

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Official URL: http://dx.doi.org/10.1109/EUSIPCO.2016.7760310


In this paper we propose a novel framework for compressive sampling reconstruction of biomedical ultrasonic images based on the Approximate Message Passing (AMP) algorithm. AMP is an iterative algorithm that performs image reconstruction through image denoising within a compressive sampling framework. In this work, our aim is to evaluate the merits of several combinations of a denoiser and a transform domain, which are the two main factors that determine the recovery performance. In particular, we investigate reconstruction performance in the spatial, DCT, and wavelet domains. We compare the results with existing reconstruction algorithms already used in ultrasound imaging and quantify the performance improvement.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to IEEE editor. The definitive version is available at http://ieeexplore.ieee.org This papers appears in Proceedings of EUSIPCO 2016. Electronic ISBN: 978-0-9928-6265-7 Electronic ISSN: 2076-1465 The original PDF of the article can be found at: http://ieeexplore.ieee.org/document/7760310/ Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
HAL Id:hal-01517386
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (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)
Other partners > University of Bristol (UNITED KINGDOM)
Laboratory name:
Deposited On:20 Apr 2017 09:11

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