Optimizing through computational modeling to reduce dogboning of functionally graded coronary stent material-Reference-Cited by-同舟云学术

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Optimizing through computational modeling to reduce dogboning of functionally graded coronary stent material

Published:2017-08-17 Issue:9 Volume:28 Page:
ISSN:0957-4530
Container-title:Journal of Materials Science: Materials in Medicine
language:en
Short-container-title:J Mater Sci: Mater Med

Author:

Khosravi Arezoo,Akbari Amir,Bahreinizad Hossein,Salimi Bani Milad,Karimi Alireza

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering,Biomaterials,Bioengineering,Biophysics

Link

http://link.springer.com/article/10.1007/s10856-017-5959-7/fulltext.html

Reference38 articles.

1. Karimi A, Navidbakhsh M, Shojaei A, Faghihi S. Measurement of the uniaxial mechanical properties of healthy and atherosclerotic human coronary arteries. Mater Sci Eng C. 2013;33:2550–4.

2. Karimi A, Navidbakhsh M, Shojaei A. A combination of histological analyses and uniaxial tensile tests to determine the material coefficients of the healthy and atherosclerotic human coronary arteries. Tissue Cell. 2015;47:152–8.

3. Karimi A, Shojaei A, Razaghi R. Viscoelastic mechanical measurement of the healthy and atherosclerotic human coronary arteries using DIC technique. Artery Res. 2017;18:14–21.

4. Karimi A, Navidbakhsh M, Rahmati SM, Sera T, Kudo S. A combination of constitutive damage model and artificial neural networks to characterize the mechanical properties of the healthy and atherosclerotic human coronary arteries. Artif Organs. 2017 Feb 2. 10.1111/aor.12855 .

5. Karimi A, Navidbakhsh M, Rahmati SM, Sera T, Kudo S, A combination of experimental and numerical methods to investigate the role of strain rate on the mechanical properties and collagen fiber orientations of the healthy and atherosclerotic human coronary arteries. Bioengineered. 2017;8(2):154–70

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