Quantifying microvascular perfusion in a murine model with enhanced thermal imaging and MCmatlab simulations

Madeline R. Kern; Susan R. Trammell

doi:10.1117/12.3001957

27 March 2024 Quantifying microvascular perfusion in a murine model with enhanced thermal imaging and MCmatlab simulations

Madeline R. Kern, Susan R. Trammell

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Proceedings Volume 12850, Optical Diagnostics and Sensing XXIV: Toward Point-of-Care Diagnostics; 1285003 (2024) https://doi.org/10.1117/12.3001957
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

Impaired reperfusion of blood vessels is a fundamental cause of complications like tissue ischemia following reconstructive microsurgery or skin grafting. Clinicians have historically relied on visual and tactile assessment to evaluate perfusion intra- and postoperatively. Recently, indocyanine green angiography (ICGA) has been implemented during procedures to map the body’s vasculature in real time. However, ICGA requires the IV administration of a fluorescent dye that can be expensive and poorly tolerated by some patients. There is a need for a cheaper, more versatile tool that can image microvessels intraoperatively and help monitor healing at the bedside. Enhanced thermal imaging (ETI) is an infrared imaging technique that uses green LEDs to induce a natural thermal contrast between blood and surrounding water-rich tissue. ETI has proven capable of delineating millimeter-scale vessels ex vivo and the venous margins of cancerous tumors. Most recently, the potential of ETI to detect capillary growth as an indicator of early wound healing within skin flaps in a murine model was evaluated. In this study, MCmatlab—a MATLAB-interfaced, Monte Carlo light transport and heat diffusion solver—was used to simulate photon deposition and heat diffusion in a mouse-scale model of perfused skin tissue under ETI operating parameters. The relationship between capillary density and the thermal signal observed at the tissue surface suggests the response captured by ETI was related to fluctuations in blood flow intrinsic to the healing process. ETI offers a promising solution for intraoperative guidance and point-of-care diagnosis of tissue perfusion.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Madeline R. Kern and Susan R. Trammell "Quantifying microvascular perfusion in a murine model with enhanced thermal imaging and MCmatlab simulations", Proc. SPIE 12850, Optical Diagnostics and Sensing XXIV: Toward Point-of-Care Diagnostics, 1285003 (27 March 2024); https://doi.org/10.1117/12.3001957

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KEYWORDS

Tissues

Capillaries

Simulations

Skin

Thermal modeling

Thermography

Diffusion

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