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Cited by 990

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Regional Strain and Strain Rate Measurements by Cardiac Ultrasound: Principles, Implementation and Limitations

D'hooge, J·2000·European Journal of Echocardiography

Abstract

The non-invasive quantification of regional myocardial function is an important goal in clinical cardiology. Myocardial thickening/thinning indices is one method of attempting to define regional myocardial function. A new ultrasonic method of quantifying regional deformation has been introduced based on the principles of 'strain' and 'strain rate' imaging. These new imaging modes introduce concepts derived from mechanical engineering which most echocardiographers are not familiar with. In order to maximally exploit these new techniques, an understanding of what they measure is indispensable. This paper will define each of these modalities in terms of physical principles and will give an introduction to the principles of data acquisition and processing required to implement ultrasonic strain and strain rate imaging. In addition, the current status of development of the technique and its limitations will be discussed, together with examples of potential clinical applications.

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Crossref · 10.1053/euje.2000.0031

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Metadata

Authors
D'hooge, J.
Venue
European Journal of Echocardiography
Published
2000-09
Volume
1
Issue
3
Pages
154-170
ISSN
1525-2167 (ISSN-L)
OpenAlex
W2157534984
Cited by
990
References
17
FWCI
13.63
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Regional Strain and Strain Rate Measurements by Cardiac Ultrasound: Principles, Implementation and Limitations. https://app.cochat.ai/papers/10.1053/euje.2000.0031
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D'hooge, J. (2000). Regional Strain and Strain Rate Measurements by Cardiac Ultrasound: Principles, Implementation and Limitations. European Journal of Echocardiography. https://doi.org/10.1053/euje.2000.0031

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.