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. The long-term goal of our studies is to establish the potential of a low-cost, portable, noninvasive and reliable strain imaging technique of Myocardial Elastography pioneered by our group for early detection and localization of myocardial ischemia. In this renewal study, we propose to overcome all limitations identified during the past funding period and ensure clinical translation for detection of ischemia and differentiation from infarction. Our group was the first to demonstrate that cardiac strain imaging using parallel beamforming is feasible 1) at extremely high frame rates (up to 2000 fps) ensuring 2) high precision and 3) angle-independent 2D strain estimates, 3) 3D capability, 4) imaging of transient cardiac events (~1-10 ms electromechanical strains) and 5) real-time implementation 6) without ECG gating or breath holds. Therefore, the hypothesis of this study is that parallel- beamforming Myocardial Elastography (PBME) will have increased sensitivity for 1) detection of early onset of ischemia that current modalities may miss and 2) differentiation of early onset from advanced ischemia or infarction based on the resulting altered mechanical and electromechanical cardiac function.
The specific aims are as follows: 1) characterize fundamental performance of PBME in simulations and phantoms; 2) validate PBME detection of early disease onset in canines in vivo; and 3) validate PBME findings against CT angiography and nuclear perfusion. High reliability of PBME for detection and characterization of early ischemic onset would entail its readily translation and seamless integration in the clinical echocardiography routine.

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 can noninvasively map 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 #
5R01EB006042-11
Application #
9512976
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
King, Randy Lee
Project Start
2015-09-15
Project End
2019-05-31
Budget Start
2018-06-01
Budget End
2019-05-31
Support Year
11
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Columbia University (N.Y.)
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
621889815
City
New York
State
NY
Country
United States
Zip Code
10032
Costet, Alexandre; Wan, Elaine; Melki, Lea et al. (2018) Non-invasive Characterization of Focal Arrhythmia with Electromechanical Wave Imaging in Vivo. Ultrasound Med Biol 44:2241-2249
Bunting, Ethan; Papadacci, Clement; Wan, Elaine et al. (2018) Cardiac Lesion Mapping In Vivo Using Intracardiac Myocardial Elastography. IEEE Trans Ultrason Ferroelectr Freq Control 65:14-20
Sayseng, Vincent; Grondin, Julien; Konofagou, Elisa E (2018) Optimization of Transmit Parameters in Cardiac Strain Imaging With Full and Partial Aperture Coherent Compounding. IEEE Trans Ultrason Ferroelectr Freq Control 65:684-696
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
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
Papadacci, Clement; Bunting, Ethan A; Wan, Elaine Y et al. (2017) 3D Myocardial Elastography In Vivo. IEEE Trans Med Imaging 36:618-627
Costet, Alexandre; Melki, Lea; Sayseng, Vincent et al. (2017) Electromechanical wave imaging and electromechanical wave velocity estimation in a large animal model of myocardial infarction. Phys Med Biol 62:9341-9356
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

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