Skip to main content

Ultrasound shear wave elasticity imaging quantifies coronary perfusion pressure effect on cardiac compliance.

Publication ,  Journal Article
Vejdani-Jahromi, M; Nagle, M; Trahey, GE; Wolf, PD
Published in: IEEE transactions on medical imaging
February 2015

Diastolic heart failure (DHF) is a major source of cardiac related morbidity and mortality in the world today. A major contributor to, or indicator of DHF is a change in cardiac compliance. Currently, there is no accepted clinical method to evaluate the compliance of cardiac tissue in diastolic dysfunction. Shear wave elasticity imaging (SWEI) is a novel ultrasound-based elastography technique that provides a measure of tissue stiffness. Coronary perfusion pressure affects cardiac stiffness during diastole; we sought to characterize the relationship between these two parameters using the SWEI technique. In this work, we demonstrate how changes in coronary perfusion pressure are reflected in a local SWEI measurement of stiffness during diastole. Eight Langendorff perfused isolated rabbit hearts were used in this study. Coronary perfusion pressure was changed in a randomized order (0-90 mmHg range) and SWEI measurements were recorded during diastole with each change. Coronary perfusion pressure and the SWEI measurement of stiffness had a positive linear correlation with the 95% confidence interval (CI) for the slope of 0.009-0.011 m/s/mmHg ( R(2) = 0.88 ). Furthermore, shear modulus was linearly correlated to the coronary perfusion pressure with the 95% CI of this slope of 0.035-0.042 kPa/mmHg ( R(2) = 0.83). In conclusion, diastolic SWEI measurements of stiffness can be used to characterize factors affecting cardiac compliance specifically the mechanical interaction (cross-talk) between perfusion pressure in the coronary vasculature and cardiac muscle. This relationship was found to be linear over the range of pressures tested.

Duke Scholars

Published In

IEEE transactions on medical imaging

DOI

EISSN

1558-254X

ISSN

0278-0062

Publication Date

February 2015

Volume

34

Issue

2

Start / End Page

465 / 473

Related Subject Headings

  • Rabbits
  • Nuclear Medicine & Medical Imaging
  • Myocardial Reperfusion
  • Linear Models
  • Heart Failure, Diastolic
  • Heart
  • Elasticity Imaging Techniques
  • Echocardiography
  • Animals
  • 46 Information and computing sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Vejdani-Jahromi, M., Nagle, M., Trahey, G. E., & Wolf, P. D. (2015). Ultrasound shear wave elasticity imaging quantifies coronary perfusion pressure effect on cardiac compliance. IEEE Transactions on Medical Imaging, 34(2), 465–473. https://doi.org/10.1109/tmi.2014.2360835
Vejdani-Jahromi, Maryam, Matt Nagle, Gregg E. Trahey, and Patrick D. Wolf. “Ultrasound shear wave elasticity imaging quantifies coronary perfusion pressure effect on cardiac compliance.IEEE Transactions on Medical Imaging 34, no. 2 (February 2015): 465–73. https://doi.org/10.1109/tmi.2014.2360835.
Vejdani-Jahromi M, Nagle M, Trahey GE, Wolf PD. Ultrasound shear wave elasticity imaging quantifies coronary perfusion pressure effect on cardiac compliance. IEEE transactions on medical imaging. 2015 Feb;34(2):465–73.
Vejdani-Jahromi, Maryam, et al. “Ultrasound shear wave elasticity imaging quantifies coronary perfusion pressure effect on cardiac compliance.IEEE Transactions on Medical Imaging, vol. 34, no. 2, Feb. 2015, pp. 465–73. Epmc, doi:10.1109/tmi.2014.2360835.
Vejdani-Jahromi M, Nagle M, Trahey GE, Wolf PD. Ultrasound shear wave elasticity imaging quantifies coronary perfusion pressure effect on cardiac compliance. IEEE transactions on medical imaging. 2015 Feb;34(2):465–473.

Published In

IEEE transactions on medical imaging

DOI

EISSN

1558-254X

ISSN

0278-0062

Publication Date

February 2015

Volume

34

Issue

2

Start / End Page

465 / 473

Related Subject Headings

  • Rabbits
  • Nuclear Medicine & Medical Imaging
  • Myocardial Reperfusion
  • Linear Models
  • Heart Failure, Diastolic
  • Heart
  • Elasticity Imaging Techniques
  • Echocardiography
  • Animals
  • 46 Information and computing sciences