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Fast High Resolution Blood Flow Estimation and Clutter Rejection via an Alternating Optimization Problem

Abstract : This paper introduces a computationally efficient technique for estimating high-resolution Doppler blood flow from an ultrafast ultrasound image sequence. More precisely, it consists in a new fast alternating minimization algorithm that implements a blind deconvolution method based on robust principal component analysis. Numerical investigation carried out on in vivo data shows the efficiency of the proposed approach in comparison with state-of-the-art methods.
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https://hal.archives-ouvertes.fr/hal-03124597
Contributor : Duong-Hung Pham <>
Submitted on : Thursday, January 28, 2021 - 7:29:36 PM
Last modification on : Tuesday, May 4, 2021 - 4:07:49 PM
Long-term archiving on: : Thursday, April 29, 2021 - 8:01:01 PM

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ISBI20_fastBDRPCA.R1.pdf
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Distributed under a Creative Commons Attribution - NonCommercial - NoDerivatives 4.0 International License

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  • HAL Id : hal-03124597, version 1
  • ARXIV : 2011.01811

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Duong-Hung Pham, Adrian Basarab, Jean-Pierre Remenieras, Paul Rodríguez, Denis Kouamé. Fast High Resolution Blood Flow Estimation and Clutter Rejection via an Alternating Optimization Problem. International Symposium on Biomedical Imaging (IEEE ISBI 2021), Apr 2021, Nice, France. ⟨hal-03124597⟩

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