Microscope-based near-infrared stereo-imaging system for quantifying the motion of the murine epicardial coronary arteries in vivo

David S. Long; Hui Zhu; Morton H. Friedman

doi:10.1117/1.JBO.18.9.096013

20 September 2013 Microscope-based near-infrared stereo-imaging system for quantifying the motion of the murine epicardial coronary arteries in vivo

David S. Long, Hui Zhu, Morton H. Friedman

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Journal of Biomedical Optics, Vol. 18, Issue 9, 096013 (September 2013). https://doi.org/10.1117/1.JBO.18.9.096013

Abstract

Atherosclerosis is a leading cause of mortality in industrialized countries. In addition to “traditional” systemic risk factors for atherosclerosis, the geometry and motion of coronary arteries may contribute to individual susceptibility to the development and progression of disease in these vessels. To be able to test this, we have developed a high-speed (∼40 frames per second) microscope-based stereo-imaging system to quantify the motion of epicardial coronary arteries of mice. Using near-infrared nontargeted quantum dots as an imaging contrast agent, we synchronously acquired paired images of a surgically exposed murine heart, from which the three-dimensional geometry of the coronary arteries was reconstructed. The reconstructed geometry was tracked frame by frame through the cardiac cycle to quantify the in vivo motion of the vessel, from which displacements, curvature, and torsion parameters were derived. Illustrative results for a C57BL/6J mouse are presented.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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David S. Long, Hui Zhu, and Morton H. Friedman "Microscope-based near-infrared stereo-imaging system for quantifying the motion of the murine epicardial coronary arteries in vivo," Journal of Biomedical Optics 18(9), 096013 (20 September 2013). https://doi.org/10.1117/1.JBO.18.9.096013

Published: 20 September 2013

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KEYWORDS

Arteries

3D image processing

Imaging systems

In vivo imaging

3D image reconstruction

Heart

Image segmentation

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