Diagnostic and Interventional Radiology
Interventional Radiology - Review

Computational evaluation of inferior vena cava filters through computational fluid dynamics methods

1.

Division of Vascular and Interventional Radiology, Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA

2.

GE Aviation, Engineering Division, Lynn, Massachusetts, USA

3.

Northwest Radiology and St. Vincent Health, Indianapolis, Indiana, USA

Diagn Interv Radiol 2021; 27: 116-121
DOI: 10.5152/dir.2020.19435
Read: 613 Downloads: 226 Published: 26 November 2020

Numerical simulation is growing in its importance toward the design, testing and evaluation of medical devices. Computational fluid dynamics and finite element analysis allow improved calculation of stress, heat transfer, and flow to better understand the medical device environment. Current research focuses not only on improving medical devices, but also on improving the computational tools themselves. As methods and computer technology allow for faster simulation times, iterations and trials can be performed faster to collect more data. Given the adverse events associated with long-term inferior vena cava (IVC) filter placement, IVC filter design and device evaluation are of paramount importance. This work reviews computational methods used to develop, test, and improve IVC filters to ultimately serve the needs of the patient.

You may cite this article as: Rajan A, Makary MS, Martyn TD, Dowell JD. Computational evaluation of inferior vena cava filters through computational fluid dynamics methods. Diagn Interv Radiol 2021; 27: 116–121.

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