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Florence Kremer

Researcher at Katholieke Universiteit Leuven

Publications -  18
Citations -  187

Florence Kremer is an academic researcher from Katholieke Universiteit Leuven. The author has contributed to research in topics: Speckle pattern & Ultrasound. The author has an hindex of 6, co-authored 18 publications receiving 169 citations. Previous affiliations of Florence Kremer include Catholic University of Leuven.

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Journal ArticleDOI

Ultrasound-based radial and longitudinal strain estimation of the carotid artery: a feasibility study

TL;DR: This study shows the feasibility of a speckle-tracking-based algorithm for simultaneous estimation of radial and longitudinal strain in the carotid artery in silico and these results were preliminarily confirmed in vivo.
Journal ArticleDOI

Ultrasound speckle tracking for radial, longitudinal and circumferential strain estimation of the carotid artery - An in vitro validation via sonomicrometry using clinical and high-frequency ultrasound

TL;DR: The agreement between sonomicrometry and speckle tracking demonstrates that carotid strain assessment by ultrasound speckled tracking is feasible and significantly reduces the likelihood of false positives in clinical ultrasound images.
Proceedings ArticleDOI

Ultrasound-based Speckle Tracking for 3D Strain estimation of the Arterial wall — An experimental validation study in a tissue mimicking phantom

TL;DR: In this article, an ultrasound-based method has been proposed to assess arterial strain as a measure of stiffness, which is an important risk factor for cardiovascular disease, and the aim of the c...
Proceedings ArticleDOI

Ultrasound-based 2D strain estimation of the carotid artery: an in-silico feasibility study

TL;DR: This study shows the feasibility of simultaneously measuring radial and longitudinal strain in the carotid artery by making use of currently available hardware.
Journal ArticleDOI

Geometric regularization for 2-D myocardial strain quantification in mice: an in-silico study.

TL;DR: The aim of this study was to compare the performance of different geometric regularizers in the setting of myocardial motion and strain estimation in murine echocardiography using simulated datasets.