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Cardiovascular Computing—Methodologies and Clinical Applications pp 163–190Cite as

Intrinsic Cardiovascular Wave and Strain Imaging

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Part of the book series: Series in BioEngineering ((SERBIOENG))

Abstract

Cardiovascular diseases remain America’s primary killer by a large margin, claiming the lives of more Americans than the next two main causes of death combined (cancer and pulmonary complications). In particular, coronary artery disease (CAD) is by far the most lethal, causing 17% of all (cardiac-related or not) deaths every year. One of the main reasons for this high death toll is the severe lack of effective and accessible imaging tools upon anomaly detected on the electrocardiogram (ECG), especially at the early stages when CAD can be stabilized with appropriate pharmacological regimen. Arrhythmias refer to the disruption of the natural heart rhythm. Cardiac arrhythmias lead to a significant number of cardiovascular morbidity and mortality. This irregular heart rhythm causes the heart to suddenly stop pumping blood. Atrial pathologies are the most common arrhythmias with atrial fibrillation and atrial flutter being the most prevalent. In this chapter, we introduce ultrasound-based methodologies that are based on inferring to the mechanical and electrical properties of the myocardium in order to better image the onset and progression of the aforementioned diseases.

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Acknowledgements

The results presented herein were produced by current and previous members of the Ultrasound and Elasticity Imaging Laboratory: Ethan Bunting, Ph.D., Alexandre Costet, Ph.D., Julien Grondin, Ph.D., Wei-Ning Lee, Ph.D., Pierre Nauleau, Ph.D. and Jean Provost, Ph.D. The studies were in part supported by R01 EB006042 and R01 HL114358.

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Authors and Affiliations

  1. Columbia University, 1210 Amsterdam Ave, ET351, MC 8904, New York, NY, 10027, USA

    Elisa Konofagou

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  1. Elisa Konofagou
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Correspondence to Elisa Konofagou .

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Editors and Affiliations

  1. Medical School, National Kapodistrian University of Athens, Athens, Greece

    Spyretta Golemati

  2. Biomedical Simulations and Imaging Laboratory, National Technical University of Athens, Athens, Greece

    Konstantina S. Nikita

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Konofagou, E. (2019). Intrinsic Cardiovascular Wave and Strain Imaging. In: Golemati, S., Nikita, K. (eds) Cardiovascular Computing—Methodologies and Clinical Applications. Series in BioEngineering. Springer, Singapore. https://doi.org/10.1007/978-981-10-5092-3_8

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  • DOI: https://doi.org/10.1007/978-981-10-5092-3_8

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5091-6

  • Online ISBN: 978-981-10-5092-3

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