A framework for comparing vascular hemodynamics at different points in time

J. Gounley, M. Vardhan, A. Randles

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Computational simulations of blood flow contribute to our understanding of the interplay between vascular geometry and hemodynamics. With an improved understanding of this interplay from computational fluid dynamics (CFD), there is potential to improve basic research and the targeting of clinical care. One avenue for further analysis concerns the influence of time on the vascular geometries used in CFD simulations. The shape of blood vessels changes frequently, as in deformation within the cardiac cycle, and over long periods of time, such as the development of a stenotic plaque or an aneurysm. These changes in the vascular geometry will, in turn, influence flow within these blood vessels. By performing CFD simulations in geometries representing the blood vessels at different points in time, the interplay of these geometric changes with hemodynamics can be quantified. However, performing CFD simulations on different discrete grids leads to an additional challenge: how does one directly and quantitatively compare simulation results from different vascular geometries? In a previous study, we began to address this problem by proposing a method for the simplified case where the two geometries share a common centerline. In this companion paper, we generalize this method to address geometric changes which alter the vessel centerline. We demonstrate applications of this method to the study of wall shear stress in the left coronary artery. First, we compute the difference in wall shear stress between simulations using vascular geometries derived from patient imaging data at two points in the cardiac cycle. Second, we evaluate the relationship between changes in wall shear stress and the progressive development of a coronary aneurysm or stenosis.

Original languageEnglish
Pages (from-to)1-8
Number of pages8
JournalComputer Physics Communications
Volume235
DOIs
StatePublished - Feb 2019
Externally publishedYes

Funding

We thank Daniel Puleri and Mahsa Dabagh for helpful comments that improved the manuscript. We also thank Jane Leopold for arranging access to imaging data at Brigham and Women’s Hospital. Research reported in this publication was supported by the Office of the Director, National Institutes of Health under Award Number DP5OD019876 . The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. This work was also supported by a VA/NCI Big Data Scientist Training Enhancement Program (BD-STEP) fellowship and a Hartwell Fellowship.

FundersFunder number
BD-STEP
VA/NCI
National Institutes of HealthDP5OD019876
Office of the Director

    Keywords

    • Computational fluid dynamics
    • Hemodynamics
    • Vasculature

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