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Image-Based Modeling of Blood Flow and Vessel Wall Dynamics: Applications, Methods and Future Directions

Sixth International Bio-Fluid Mechanics Symposium and Workshop, March 28–30, 2008 Pasadena, California

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Abstract

The objective of our session at the 2008 International Bio-Fluid Symposium and Workshop was to review the state-of-the-art in image-based modeling of blood flow, and identify future directions. Here we summarize progress in the field of image-based modeling of blood flow and vessel wall dynamics from mid-2005 to early 2009. We first describe the tremendous progress made in the application of image-based modeling techniques to elucidate the role of hemodynamics in vascular pathophysiology, plan treatments for congenital and acquired diseases in individual patients, and design and evaluate endovascular devices. We then review the advances that have been made in improving the methodology for modeling blood flow and vessel wall dynamics in image-based models, and consider issues related to extracting hemodynamic parameters and verification and validation. Finally, the strengths and weaknesses of current work in image-based modeling and the opportunities and threats to the field are described. We believe that with a doubling of our efforts toward the clinical application of image-based modeling tools, the next few years could surpass the tremendous gains made in the last few.

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Abbreviations

AAA:

Abdominal aortic aneurysms

ALE:

Arbitrary Lagrangian–Eulerian

CFD:

Computational fluid dynamics

CT:

Computed tomography

IMT:

Intima-media thickness

IUVS:

Invasive intravascular ultrasound

MRA:

Magnetic resonance angiograms

MRI:

Magnetic resonance imaging

PC-MRI:

Phase contrast magnetic resonance imaging

US:

Ultrasound

WSS:

Wall shear stress

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Acknowledgments

This review is based on material presented at the International Biofluids Symposium and Workshop, Pasadena, CA, March 28–30, 2008. Taylor’s research on which this work is based has been supported, in part, by grants from the National Science Foundation (ITR-0205741) and the National Institutes of Health through the NIH Roadmap for Medical Research Grant U54 GM072970. Information on the National Centers for Biomedical Computing can be obtained from http://nihroadmap.nih.gov/bioinformatics. Steinman’s work on image-based modeling has been supported by a Career Investigator Award from the Heart & Stroke Foundation, as well as by grants from that agency and from the Canadian Institutes of Health Research. The invaluable contributions from our many collaborators, staff, trainees and study volunteers are gratefully acknowledged.

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  1. Departments of Bioengineering and Surgery, Stanford University, Stanford, CA, USA

    Charles A. Taylor

  2. Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada

    David A. Steinman

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Associate Editor Larry V. McIntire oversaw the review of this article.

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Taylor, C.A., Steinman, D.A. Image-Based Modeling of Blood Flow and Vessel Wall Dynamics: Applications, Methods and Future Directions. Ann Biomed Eng 38, 1188–1203 (2010). https://doi.org/10.1007/s10439-010-9901-0

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