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Published on: September 24, 2020
Electromechanical wave imaging for noninvasive mapping of the 3D electrical activation sequence in canines and humans
Elisa E Konofagou1, Jean Provost
1Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA. ek2191@columbia.edu
Insights
Electromechanical Wave Imaging (EWI) offers a novel, ultrasound-based method for non-invasively mapping the heart's electrical activity. This technique shows promise for improving the detection and localization of cardiovascular abnormalities, potentially reducing mortality from heart disease.
Area of Science:
- Biomedical Engineering
- Cardiology
- Medical Imaging
Background:
- Cardiovascular diseases are a leading cause of death in the US, partly due to limitations in current cardiac imaging techniques.
- Existing methods like CT angiography and echocardiography have drawbacks in speed and reliability for detecting cardiac abnormalities.
- There is a critical need for non-invasive imaging that can quantitatively map myocardial electrical and mechanical function.
Purpose of the Study:
- To introduce and evaluate Electromechanical Wave Imaging (EWI), an ultrasound-based technique for assessing cardiac electrical function.
- To demonstrate the capability of EWI in differentiating cardiac rhythms and mapping arrhythmias.
- To present preliminary validation and in vivo human applications of EWI for cardiac electrical conduction mapping.
Main Methods:
- EWI utilizes ultrasound to detect electromechanical coupling and resulting myocardial strain to infer electrical function.
- The study describes the methodology of EWI and presents its fundamental performance characteristics.
- In vivo studies were conducted on canines and humans, including transthoracic mapping of all four heart chambers.
Main Results:
- EWI successfully differentiated between sinus rhythm and induced pacing schemes in vivo.
- The technique demonstrated applicability in mapping cardiac arrhythmias.
- Preliminary validation using catheter mapping was performed, and transthoracic mapping in all human heart chambers was achieved.
Conclusions:
- Electromechanical Wave Imaging is a novel, non-invasive ultrasound technique for inferring cardiac electrical function.
- EWI shows significant potential for quantitative, regional mapping of myocardial electrical activity.
- This method could improve the screening, early detection, and localization of cardiovascular abnormalities.
Abstract:
Cardiovascular diseases rank as America's primary killer, claiming the lives of over 41% of more than 2.4 million Americans. One of the main reasons for this high death toll is the severe lack of effective imaging techniques for screening, early detection and localization of an abnormality detected on the electrocardiogram (ECG). The two most widely used imaging techniques in the clinic are CT angiography and echocardiography with limitations in speed of application and reliability, respectively. It has been established that the mechanical and electrical properties of the myocardium change dramatically as a result of ischemia, infarction or arrhythmia; both at their onset and after survival. Despite these findings, no imaging technique currently exists that is routinely used in the clinic and can provide reliable, non-invasive, quantitative mapping of the regional, mechanical, and electrical function of the myocardium. Electromechanical Wave Imaging (EWI) is an ultrasound-based technique that utilizes the electromechanical coupling and its associated resulting strain to infer to the underlying electrical function of the myocardium. The methodology of EWI is first described and its fundamental performance is presented. Subsequent in vivo canine and human applications are provided that demonstrate the applicability of Electromechanical Wave Imaging in differentiating between sinus rhythm and induced pacing schemes as well as mapping arrhythmias. Preliminary validation with catheter mapping is also provided and transthoracic electromechanical mapping in all four chambers of the human heart is also presented demonstrating the potential of this novel methodology to noninvasively infer to both the normal and pathological electrical conduction of the heart.

