Shear Wave Imaging Framework for Quantification of Myocardial Tissue Properties

Martin Siemienski Andersen; Peter Søgaard; Johannes Jan Struijk; Samuel Emil Schmidt

Shear Wave Imaging Framework for Quantification of Myocardial Tissue Properties

Martin Siemienski Andersen, Peter Søgaard, Johannes Jan Struijk, Samuel Emil Schmidt

Research output: Contribution to conference without publisher/journal › Conference abstract for conference › Research › peer-review

Abstract

Background: Analyze of myocardial and arterial wall tissue properties can potentially be used to diagnose cardiovascular pathophysiology. Many cardiovascular diseases, such as Left Bundle Branch Block, Myocardial Infarcts and arteriosclerosis alters tissue elasticity. A known analogue to tissue elasticity is the velocity of the propagating shear waves through tissue, which can be quantified non-invasively as shear wave velocity, derived from ultrasound Shear-Wave Imaging (SWI). The use of SWI techniques requires custom programming and a deep knowledge of research-based ultrasound systems. The aim of the current work is to develop an open-source software toolbox for acquisition of SWI imaging.

Original language	English
Publication date	2022
Publication status	Published - 2022
Event	Computing in Cardiology, CinC - Tampere, Finland Duration: 4 Sep 2022 → 7 Sep 2022

Conference

Conference	Computing in Cardiology, CinC
Country/Territory	Finland
City	Tampere
Period	04/09/2022 → 07/09/2022

Cite this

@conference{d4d2b85c5e0a41b2bb9863373b3867ea,

title = "Shear Wave Imaging Framework for Quantification of Myocardial Tissue Properties",

abstract = "Background: Analyze of myocardial and arterial wall tissue properties can potentially be used to diagnose cardiovascular pathophysiology. Many cardiovascular diseases, such as Left Bundle Branch Block, Myocardial Infarcts and arteriosclerosis alters tissue elasticity. A known analogue to tissue elasticity is the velocity of the propagating shear waves through tissue, which can be quantified non-invasively as shear wave velocity, derived from ultrasound Shear-Wave Imaging (SWI). The use of SWI techniques requires custom programming and a deep knowledge of research-based ultrasound systems. The aim of the current work is to develop an open-source software toolbox for acquisition of SWI imaging.",

author = "{Siemienski Andersen}, Martin and Peter S{\o}gaard and Struijk, {Johannes Jan} and Schmidt, {Samuel Emil}",

year = "2022",

language = "English",

note = "null ; Conference date: 04-09-2022 Through 07-09-2022",

}

TY - ABST

T1 - Shear Wave Imaging Framework for Quantification of Myocardial Tissue Properties

AU - Siemienski Andersen, Martin

AU - Søgaard, Peter

AU - Struijk, Johannes Jan

AU - Schmidt, Samuel Emil

PY - 2022

Y1 - 2022

N2 - Background: Analyze of myocardial and arterial wall tissue properties can potentially be used to diagnose cardiovascular pathophysiology. Many cardiovascular diseases, such as Left Bundle Branch Block, Myocardial Infarcts and arteriosclerosis alters tissue elasticity. A known analogue to tissue elasticity is the velocity of the propagating shear waves through tissue, which can be quantified non-invasively as shear wave velocity, derived from ultrasound Shear-Wave Imaging (SWI). The use of SWI techniques requires custom programming and a deep knowledge of research-based ultrasound systems. The aim of the current work is to develop an open-source software toolbox for acquisition of SWI imaging.

AB - Background: Analyze of myocardial and arterial wall tissue properties can potentially be used to diagnose cardiovascular pathophysiology. Many cardiovascular diseases, such as Left Bundle Branch Block, Myocardial Infarcts and arteriosclerosis alters tissue elasticity. A known analogue to tissue elasticity is the velocity of the propagating shear waves through tissue, which can be quantified non-invasively as shear wave velocity, derived from ultrasound Shear-Wave Imaging (SWI). The use of SWI techniques requires custom programming and a deep knowledge of research-based ultrasound systems. The aim of the current work is to develop an open-source software toolbox for acquisition of SWI imaging.

UR - https://cinc.org/2022/Program/accepted/booklet-2022.pdf

M3 - Conference abstract for conference

Y2 - 4 September 2022 through 7 September 2022

ER -

Shear Wave Imaging Framework for Quantification of Myocardial Tissue Properties

Abstract

Conference

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