Nearly every form of cardiac disease involves changes to the myocardial stiffness. Current clinically-viable measurement techniques to assess myocardial stiffness are ei- ther invasive and/or involve image-derived metrics. We propose the use of a new imaging method, called Acoustic Radiation Force Impulse (ARFI) imaging, in measuring the me- chanical properties of myocardial tissue. The technique employs ultrasonic radiation force to displace tissue. Conventional ultrasound is then used to observe the response of the tissue to the force. We present preliminary data showing the success of this technique in imaging the changes in stiffness that occur under normal myocardial function. We pro- pose to further develop the ARFI imaging technique and then investigate the use of ARFI imaging in detecting abnormal heart function using animal models. In addition, we pro- pose human clinical studies with pediatric cardiac transplant patients. These studies will evaluate the potential of ARFI imaging to provide early detection of transplant rejection, in grading the severity of heart failure, and in distinguishing between systolic and diastolic heart failure.

Public Health Relevance

Diseases of the heart often involve changes in the stiffness of the heart. We have developed a new imaging method that displays the stiffness of heart tissue. We propose animal and human studies to determine the potential of this method to reliably detect and predict cardiac diseases.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Method to Extend Research in Time (MERIT) Award (R37)
Project #
5R37HL096023-05
Application #
8451407
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Buxton, Denis B
Project Start
2009-05-15
Project End
2014-03-31
Budget Start
2013-04-01
Budget End
2014-03-31
Support Year
5
Fiscal Year
2013
Total Cost
$449,600
Indirect Cost
$161,395
Name
Duke University
Department
Biomedical Engineering
Type
Schools of Engineering
DUNS #
044387793
City
Durham
State
NC
Country
United States
Zip Code
27705
Kakkad, Vaibhav; LeFevre, Melissa; Roy Choudhury, Kingshuk et al. (2018) Effect of Transmit Beamforming on Clutter Levels in Transthoracic Echocardiography. Ultrason Imaging 40:215-231
Vejdani-Jahromi, Maryam; Freedman, Jenna; Kim, Young-Joong et al. (2018) Assessment of Diastolic Function Using Ultrasound Elastography. Ultrasound Med Biol 44:551-561
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Hollender, Peter; Kuo, Lily; Chen, Virginia et al. (2017) Scanned 3-D Intracardiac ARFI and SWEI for Imaging Radio-Frequency Ablation Lesions. IEEE Trans Ultrason Ferroelectr Freq Control 64:1034-1044
Hollender, Peter; Lipman, Samantha L; Trahey, Gregg E (2017) Thee-Dimensional Single-Track-Location Shear Wave Elasticity Imaging. IEEE Trans Ultrason Ferroelectr Freq Control 64:1784-1794
Vejdani-Jahromi, Maryam; Nagle, Mathew; Jiang, Yang et al. (2016) A Comparison of Acoustic Radiation Force-Derived Indices of Cardiac Function in the Langendorff Perfused Rabbit Heart. IEEE Trans Ultrason Ferroelectr Freq Control 63:1288-95
Hollender, Peter; Bottenus, Nick; Trahey, Gregg (2015) A multiresolution approach to shear wave image reconstruction. IEEE Trans Ultrason Ferroelectr Freq Control 62:1429-39

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