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Conference papers

Elastic-net based beamforming in medical ultrasound imaging

Teodora Szasz 1 Adrian Basarab 1, 2 Mircea-Florin Vaida 3 Denis Kouamé 1 
1 IRIT-TCI - Traitement et Compréhension d’Images
IRIT - Institut de recherche en informatique de Toulouse
2 UT3 - Université Toulouse III - Paul Sabatier
3 Technical University of Cluj-Napoca
Abstract : This paper presents a new way of addressing beamforming in ultrasound imaging, by formulating it, for each image depth, as an inverse problem solved using elastic-net regularization. This approach was evaluated on both simulated and in vivo data showing a gain in contrast, while maintaining an increased value of the signal-to-noise ratio compared to two standard ultrasound beamforming methods.
Keywords : Beamspace processing Beamforming Inverse problems Ultrasound imaging Elastic-net regularization
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Conference papers
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Submitted on : Friday, July 21, 2017 - 2:10:54 PM
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  • HAL Id : hal-01566922, version 1
  • OATAO : 16891

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UNIV-TLSE2 | CNRS | SMS | UT1-CAPITOLE | IRIT | IRIT-TCI | IRIT-SI | UNIV-UT3 | UT3-TOULOUSEINP

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Teodora Szasz, Adrian Basarab, Mircea-Florin Vaida, Denis Kouamé. Elastic-net based beamforming in medical ultrasound imaging. 13th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2016), Apr 2016, Prague, Czech Republic. pp. 477-480. ⟨hal-01566922⟩

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