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

Year: 2020

Type: conference-paper

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 \textit{in vivo} data shows the efficiency of the proposed approach in comparison with state-of-the-art methods.

Source: HAL (Le Centre pour la Communication Scientifique Directe)

DOI: 10.48550/arxiv.2011.01811

Authors: Pham, Duong-Hung, Basarab, Adrian, Remenieras, Jean-Pierre, Rodríguez, Paul, Kouamé, Denis

Institutions: Centre National de la Recherche Scientifique, Université Toulouse III - Paul Sabatier, Institut de Recherche en Informatique de Toulouse, Université de Tours, Imaging, Brain, and Neuropsychiatry

Language: English

Topic: Ultrasound Imaging and Elastography

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: green

OpenAlex ID: W4287214149

FWCI:

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