Computational Fluid Dynamics and Additive Manufacturing to Diagnose and Treat Cardiovascular Disease

Computational Fluid Dynamics and Additive Manufacturing to Diagnose and Treat Cardiovascular Disease Noninvasive engineering models are now being used for diagnosing and planning the treatment of cardiovascular disease. Techniques in computational modeling and additive manufacturing have matured concurrently, and results from simulations can inform and enable the design and optimization of therapeutic devices and treatment strategies. The emerging synergy between large-scale simulations and 3D printing is having a two-fold benefit: first, 3D printing can be used to validate the complex simulations, and second, the flow models can be used to improve treatment planning for cardiovascular disease. In this review, we summarize and discuss recent methods and findings for leveraging advances in both additive manufacturing and patient-specific computational modeling, with an emphasis on new directions in these fields and remaining open questions. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Trends in Biotechnology Elsevier

Computational Fluid Dynamics and Additive Manufacturing to Diagnose and Treat Cardiovascular Disease

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Publisher
Elsevier Current Trends
Copyright
Copyright © 2017 Elsevier Ltd
ISSN
0167-7799
D.O.I.
10.1016/j.tibtech.2017.08.008
Publisher site
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Abstract

Noninvasive engineering models are now being used for diagnosing and planning the treatment of cardiovascular disease. Techniques in computational modeling and additive manufacturing have matured concurrently, and results from simulations can inform and enable the design and optimization of therapeutic devices and treatment strategies. The emerging synergy between large-scale simulations and 3D printing is having a two-fold benefit: first, 3D printing can be used to validate the complex simulations, and second, the flow models can be used to improve treatment planning for cardiovascular disease. In this review, we summarize and discuss recent methods and findings for leveraging advances in both additive manufacturing and patient-specific computational modeling, with an emphasis on new directions in these fields and remaining open questions.

Journal

Trends in BiotechnologyElsevier

Published: Nov 1, 2017

References

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