Abstract
AbstractCompromised microvascular reactivity underlies many conditions and injuries, but its assessment remains difficult, particularly in low perfusion tissues. In this paper, we develop a new mathematical model for the assessment of vasomodulation in low perfusion settings. A first-order model was developed to approximate changes in T1 relaxation times as a result of vasomodulation. Healthy adult rats (N = 6) were imaged on a 3-Tesla clinical MRI scanner, and vasoactive response was probed on gadofosveset using hypercapnic gases at 20% and 5% CO2 to induce vasoconstriction and vasodilation, respectively. MRI included dynamic 3D T1 mapping and T1-weighted images during gas challenge; heart rate was continuously monitored. Laser Doppler perfusion measurements were performed to corroborate MRI findings. The model was able to identify hypercapnia-mediated vasoconstriction and vasodilation through the partial derivative $$\frac{\partial {T}_{1}}{\partial t}$$∂T1∂t. MRI on animals revealed gradual vasoconstriction in the skeletal muscle bed in response to 20% CO2 followed by gradual vasodilation on transitioning to 5% CO2. These trends were confirmed on laser Doppler perfusion measurements. Our new mathematical model has the potential for detecting microvascular dysfunction that manifests in the early stages across multiple metabolic and ischemic pathologies.
Funder
NSERC doctoral scholarship
Canada Foundation for Innovation
Gouvernement du Canada | Natural Sciences and Engineering Research Council of Canada
Publisher
Springer Science and Business Media LLC
Cited by
4 articles.
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