Discussion: “Comparison of Statistical Methods for Assessing Spatial Correlations Between Maps of Different Arterial Properties” (Rowland, E. M., Mohamied, Y., Chooi, K. Y., Bailey, E. L., and Weinberg, P. D., 2015, ASME J. Biomech. Eng., 137(10), p. 101003): An Alternative Approach Using Segmentation Based on Local Hemodynamics

Author:

Himburg Heather A.1,Grzybowski Deborah M.2,Hazel Andrew L.3,LaMack Jeffrey A.4,Friedman Morton H.5

Affiliation:

1. Division of Hematology/Oncology, Department of Medicine, University of California, Los Angeles, Los Angeles, CA 90095 e-mail:

2. Department of Chemical and Biomolecular Engineering, The Ohio State University, Columbus, OH 43210; Department of Engineering Education, The Ohio State University, Columbus, OH 43210 e-mail:

3. School of Mathematics, The University of Manchester, Manchester M13 9PL, UK e-mail:

4. Department of Electrical Engineering and Computer Science, Milwaukee School of Engineering, Milwaukee, WI 53202 e-mail:

5. Department of Biomedical Engineering, The George Washington University, Washington, DC 20052; Department of Mechanical and Aerospace Engineering, The George Washington University, Washington, DC 20052 e-mail:

Abstract

The biological response of living arteries to mechanical forces is an important component of the atherosclerotic process and is responsible, at least in part, for the well-recognized spatial variation in atherosusceptibility in man. Experiments to elucidate this response often generate maps of force and response variables over the arterial surface, from which the force–response relationship is sought. Rowland et al. discussed several statistical approaches to the spatial autocorrelation that confounds the analysis of such maps and applied them to maps of hemodynamic stress and vascular response obtained by averaging these variables in multiple animals. Here, we point out an alternative approach, in which discrete surface regions are defined by the hemodynamic stress levels they experience, and the stress and response in each animal are treated separately. This approach, applied properly, is insensitive to autocorrelation and less sensitive to the effect of confounding hemodynamic variables. The analysis suggests an inverse relation between permeability and shear that differs from that in Rowland et al. Possible sources of this difference are suggested.

Funder

National Heart, Lung, and Blood Institute

Publisher

ASME International

Subject

Physiology (medical),Biomedical Engineering

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