Cardiovascular diseases rank as America's primary killer, claiming the lives of over 41% of more than 2.4 million Americans who die each year. One of the main reasons for this high number of lives lost is the severe lack of an effective imaging technique for early detection and localization of an abnormality upon anomaly detected on the electrocardiogram (ECG). It has been established that the mechanical and electrical properties of the myocardium change dramatically as a result of a myocardial ischemia;both at its 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. The underlying hypothesis of the renewal study is that elastographic techniques can detect and diagnose both the mechanical and electrical properties of the myocardium, both in its normal and disease, i.e., ischemic and infarcted, states. We propose to use this multi-dimensional, angle-independent elastographic technique at variable heart rates for early detection of disease based on its altered mechanical and electrical properties of the myocardium, which can now be obtained simultaneously. Most importantly, we propose to carefully assess its potential in the clinic for early detection and localization of ischemia by developing an optimized system that can be easily be integrated with standard echocardiography. To this purpose, a multidisciplinary team of investigators from Columbia University and Johns Hopkins University has been assembled. In order to test the aforementioned hypothesis, we propose the following specific aims: 1) determine capability of estimation of both electrical and mechanical properties of normal and ischemic/infarcted myocardium using a bi-domain simulation model;2) develop upgraded system and test performance on tissue-mimicking phantoms undergoing 3D deformation and propagating waves;3) validate and combine estimation of electrical and mechanical properties in the canine myocardium for early detection of ischemia and infarction;and 4) optimize and validate localization of ischemia or arrhythmia in humans against angiography and electroanatomic mapping, respectively. Should the results of this study indicate high reliability of the elastographic findings for detection of early ischemic onset, this novel imaging system could be readily tested in a clinical setting as part of a standard protocol for early ischemia and infarction detection and its subsequent timely treatment.

Public Health Relevance

Cardiovascular diseases rank as America's primary killer in both men and women, claiming the lives of over 41% of more than 2.4 million Americans who die each year. Myocardial elastography is a unique technique that may be capable of mapping both the mechanical and electrical properties of the myocardium for early detection of disease.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB006042-05
Application #
8113304
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Lopez, Hector
Project Start
2006-09-01
Project End
2014-05-31
Budget Start
2011-06-01
Budget End
2012-05-31
Support Year
5
Fiscal Year
2011
Total Cost
$336,097
Indirect Cost
Name
Columbia University (N.Y.)
Department
Biomedical Engineering
Type
Schools of Engineering
DUNS #
049179401
City
New York
State
NY
Country
United States
Zip Code
10027
Melki, Lea; Costet, Alexandre; Konofagou, Elisa E (2017) Reproducibility and Angle Independence of Electromechanical Wave Imaging for the Measurement of Electromechanical Activation during Sinus Rhythm in Healthy Humans. Ultrasound Med Biol 43:2256-2268
Nauleau, Pierre; Melki, Lea; Wan, Elaine et al. (2017) Technical Note: A 3-D rendering algorithm for electromechanical wave imaging of a beating heart. Med Phys 44:4766-4772
Bunting, Ethan; Lambrakos, Litsa; Kemper, Paul et al. (2017) Imaging the Propagation of the Electromechanical Wave in Heart Failure Patients with Cardiac Resynchronization Therapy. Pacing Clin Electrophysiol 40:35-45
Grondin, Julien; Waase, Marc; Gambhir, Alok et al. (2017) Evaluation of Coronary Artery Disease Using Myocardial Elastography with Diverging Wave Imaging: Validation against Myocardial Perfusion Imaging and Coronary Angiography. Ultrasound Med Biol 43:893-902
Papadacci, Clement; Bunting, Ethan A; Wan, Elaine Y et al. (2017) 3D Myocardial Elastography In Vivo. IEEE Trans Med Imaging 36:618-627
Grondin, Julien; Sayseng, Vincent; Konofagou, Elisa E (2017) Cardiac Strain Imaging With Coherent Compounding of Diverging Waves. IEEE Trans Ultrason Ferroelectr Freq Control 64:1212-1222
Papadacci, Clement; Bunting, Ethan A; Konofagou, Elisa E (2017) 3D Quasi-Static Ultrasound Elastography With Plane Wave In Vivo. IEEE Trans Med Imaging 36:357-365
Costet, Alexandre; Wan, Elaine; Bunting, Ethan et al. (2016) Electromechanical wave imaging (EWI) validation in all four cardiac chambers with 3D electroanatomic mapping in canines in vivo. Phys Med Biol 61:8105-8119
Grondin, Julien; Costet, Alexandre; Bunting, Ethan et al. (2016) Validation of electromechanical wave imaging in a canine model during pacing and sinus rhythm. Heart Rhythm 13:2221-2227
Costet, Alexandre; Bunting, Ethan; Grondin, Julien et al. (2015) Atrial electromechanical cycle length mapping in paced canine hearts in vivo. IEEE Trans Ultrason Ferroelectr Freq Control 62:1277-87

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