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Beamforming with sparse prior in ultrasound medical imaging.

Szasz, Teodora and Basarab, Adrian and Vaida, Mircea-Florin and Kouamé, Denis Beamforming with sparse prior in ultrasound medical imaging. (2014) In: IEEE International Ultrasonics Symposium - IUS 2014, 3 September 2014 - 6 September 2014 (Chicago, United States).

(Document in English)

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Official URL: http://dx.doi.org/10.1109/ULTSYM.2014.0264


Nowadays the classical Delay-and-Sum (DAS) beamformer is extensively used in ultrasound imaging due to its low computational characteristics. However, it suffers from high sidelobe level, poor resolution and low contrast. An alternative is the Minimum-Variance (MV) beamformer which results in a higher image quality both in terms of spatial resolution and contrast. Even so, these benefits come at the expense of a higher computation complexity that limits its real-time capabilities. One solution that recently gained noticeable interest is the exploit of the sparsity of the scanned medium. Based on this assumption, we extend the DAS method to yield sparse results by using the Bayesian Information Criterion (BIC). Our realistic simulations demonstrate that the proposed beamforming (BF) method shows better performance than the classical DAS and MV in terms of lateral resolution, sidelobe reduction and contrast.

Item Type:Conference or Workshop Item (Paper)
HAL Id:hal-03665882
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)
Other partners > Universitatea tehnica din Cluj-Napoca - UTC-N (ROMANIA)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Deposited On:28 Apr 2015 14:02

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