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Frontiers Abstracts

Magnetic Resonance Imaging and Computed Tomography Image Fusion–Based Aorta and Coronary Artery Model for In Silico Feasibility Evaluation of Perfusion With an Ascending Aortic Pump Using Computational Fluid Dynamics

[+] Author and Article Information
Priti G. Albal

Department of Electrical and Computer Engineering,
Sun Yat-sen University–Carnegie Mellon University (SYSU-CMU),
Joint Institute of Engineering,
Pittsburgh, PA

Prahlad G. Menon

Department of Electrical and Computer Engineering,
Sun Yat-sen University–Carnegie Mellon University (SYSU-CMU),
Joint Institute of Engineering,
Pittsburgh, PA
SYSU-CMU,
Shunde International Joint Research Institute,
Guangdong, China
e-mail: pgmenon@andrew.cmu.edu

Manuscript received September 14, 2013; final manuscript received September 24, 2013; published online December 5, 2013. Editor: Gerald E. Miller.

J. Med. Devices 7(4), 040901 (Dec 05, 2013) (1 page) Paper No: MED-13-1210; doi: 10.1115/1.4025630 History: Received September 14, 2013; Revised September 24, 2013

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References

Shabari, F. R., George, J., Cuchiara, M., Langsner, R., Potts, K., Heuring, J., Hertzog, B., and Delgado, R., 2012, “Hemodynamic Effects of a Catheter-Deployed Intra-Aortic Micro-Axial Entrainment Pump in a Porcine Acute HF Model,” J. Am. Coll. Cardiol., 60(17_S), p. B109. [CrossRef]

Figures

Grahic Jump Location
Fig. 1

(a) Complete reconstructed aorta model from fused CT and magnetic resonance imaging data; (b) pressure field (mm Hg) required to maintain required coronary perfusion at ∼3% of CO; (c) wall shear stress (Pa) for 0%, 20%, and 40% tangential component flow at the pump outlet

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