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High-resolution and high-sensitivity blood flow estimation using deconvolution and optimization approaches with application to thyroid vascularization imaging

Shen, Hong and Barthélémy, Chloé and Khoury, Elise and Zemmoura, Ilyess and Reménieras, Jean-Pierre and Basarab, Adrian and Kouamé, Denis High-resolution and high-sensitivity blood flow estimation using deconvolution and optimization approaches with application to thyroid vascularization imaging. (2019) In: IEEE International Ultrasonics Symposium (IUS 2019), 6 October 2019 - 9 October 2019 (Glasgow, United Kingdom).

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Abstract

In this paper, we address the problem of highresolution flow estimation in medical ultrasound images. Imaging methods based on ultrafast sequences associated with adaptive spatiotemporal SVD clutter filtering have recently improved blood flow detection. Herein, we investigate a new way of addressing the clutter filtering problem in order to obtain a highresolution flow estimation, through solving an inverse problem corresponding to both deconvolution and robust principal component analysis. Applied to tissue vascularization imaging via power Doppler images, the proposed method highlights finer details on experimental data compared to existing approaches.

Item Type:Conference or Workshop Item (Paper)
HAL Id:hal-02930117
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)
French research institutions > Institut National de la Santé et de la Recherche Médicale - INSERM (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 > Université de Tours (FRANCE)
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Deposited On:17 Jul 2020 13:25

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