• Journal Logo

Table of Content

Open Access iconOpen Access

ABSTRACT

Patient-Specific Computational Approach for Trans Catheter Aortic Valve Replacement (TAVR): Pre-Procedural Planning for Enhancing Performance and Clinical Outcomes

Ram P. Ghosh1, Matteo Bianchi1, Gil Marom2, Oren M. Rotman1, Brandon Kovarovic1, Danny Bluestein1,*

1 Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794, USA.
2 School of Mechanical Engineering, Tel Aviv University, Tel Aviv, Israel.
* Corresponding Author: Danny Bluestein. Email: danny.bluestein@stonybrook.edu.

Molecular & Cellular Biomechanics 2019, 16(Suppl.2), 12-14. https://doi.org/10.32604/mcb.2019.07379

Abstract

This article has no abstract.

Keywords


Cite This Article

APA Style
Ghosh, R.P., Bianchi, M., Marom, G., Rotman, O.M., Kovarovic, B. et al. (2019). Patient-specific computational approach for trans catheter aortic valve replacement (TAVR): pre-procedural planning for enhancing performance and clinical outcomes . Molecular & Cellular Biomechanics, 16(Suppl.2), 12-14. https://doi.org/10.32604/mcb.2019.07379
Vancouver Style
Ghosh RP, Bianchi M, Marom G, Rotman OM, Kovarovic B, DB. Patient-specific computational approach for trans catheter aortic valve replacement (TAVR): pre-procedural planning for enhancing performance and clinical outcomes . Mol Cellular Biomechanics . 2019;16(Suppl.2):12-14 https://doi.org/10.32604/mcb.2019.07379
IEEE Style
R.P. Ghosh, M. Bianchi, G. Marom, O.M. Rotman, B. Kovarovic, and D.B. "Patient-Specific Computational Approach for Trans Catheter Aortic Valve Replacement (TAVR): Pre-Procedural Planning for Enhancing Performance and Clinical Outcomes ," Mol. Cellular Biomechanics , vol. 16, no. Suppl.2, pp. 12-14. 2019. https://doi.org/10.32604/mcb.2019.07379



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 3525

    View

  • 1380

    Download

  • 0

    Like

Share Link