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 #
5R37HL096023-04
Application #
8241921
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
2012-04-01
Budget End
2013-03-31
Support Year
4
Fiscal Year
2012
Total Cost
$604,197
Indirect Cost
$216,891
Name
Duke University
Department
Biomedical Engineering
Type
Schools of Engineering
DUNS #
044387793
City
Durham
State
NC
Country
United States
Zip Code
27705
Pinton, Gianmarco; Trahey, Gregg; Dahl, Jeremy (2014) Spatial coherence in human tissue: implications for imaging and measurement. IEEE Trans Ultrason Ferroelectr Freq Control 61:1976-87
Byram, Brett; Kim, Han; Van Assche, Lowie et al. (2014) The feasibility of myocardial infarct visualization using atrial kick induced strain (AKIS) contrast. Ultrasound Med Biol 40:1104-17
Byram, Brett; Jakovljevic, Marko (2014) Ultrasonic multipath and beamforming clutter reduction: a chirp model approach. IEEE Trans Ultrason Ferroelectr Freq Control 61:428-40
Hyun, Dongwoon; Trahey, Gregg E; Jakovljevic, Marko et al. (2014) Short-lag spatial coherence imaging on matrix arrays, part 1: Beamforming methods and simulation studies. IEEE Trans Ultrason Ferroelectr Freq Control 61:1101-12
Eyerly, Stephanie A; Bahnson, Tristram D; Koontz, Jason I et al. (2014) Contrast in intracardiac acoustic radiation force impulse images of radiofrequency ablation lesions. Ultrason Imaging 36:133-48
Jakovljevic, Marko; Byram, Brett C; Hyun, Dongwoon et al. (2014) Short-lag spatial coherence imaging on matrix arrays, part II: Phantom and in vivo experiments. IEEE Trans Ultrason Ferroelectr Freq Control 61:1113-22
Doherty, Joshua R; Trahey, Gregg E; Nightingale, Kathryn R et al. (2013) Acoustic radiation force elasticity imaging in diagnostic ultrasound. IEEE Trans Ultrason Ferroelectr Freq Control 60:685-701
Doherty, Joshua R; Dahl, Jeremy J; Trahey, Gregg E (2013) Harmonic tracking of acoustic radiation force-induced displacements. IEEE Trans Ultrason Ferroelectr Freq Control 60:2347-58
Eyerly, Stephanie A; Dumont, Douglas M; Trahey, Gregg E et al. (2013) In vitro monitoring of the dynamic elasticity changes during radiofrequency ablation with acoustic radiation force impulse imaging. J Cardiovasc Electrophysiol 24:472-3
Byram, Brett; Trahey, Gregg E; Palmeri, Mark (2013) Bayesian speckle tracking. Part I: an implementable perturbation to the likelihood function for ultrasound displacement estimation. IEEE Trans Ultrason Ferroelectr Freq Control 60:132-43

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