Computational modeling of oxygen consumption in the heart based on PET measurements
Many cardiovascular diseases are partly due to heart muscle malfunctions. The
main dynamic function in the heart is metabolism via mitochondrial respiration.
And the most direct measure of oxidative tissue metabolism is the conversion rate of
oxygen to water. Finding the oxygen consumption rate in the heart vessel will help us
prevent the heart diseases. In the experiment, [15O]-labeled RBCs (Red Blood Cells)
and indocyanine green dye were injected into the isolated blood-perfused rabbit heart.
The dye curves defined the inflow for the dye have the same shape as the inflow curves
for the [15O] oxygen. The inflow and outflow dilution curves for [15O] were obtained
with use of PET (Positron Emission Tomography) technology. After appropriate
correction for baseline and radioactive decay, the data were transferred to a UNIX
workstation for model analysis.
A linear, three-region (capillary space, interstitial fluid space, and parenchymal
cell space), and axially distributed model is introduced to simulate the oxygen consumption
process and determine the oxygen conversion rate. Parameters of concentration
are oxygen and water corresponding to capillary space, interstitial fluid space,
and parenchymal cell space. The diffusion coefficients are largely independent of
molecular motion. The blood flow happens only in capillary part. Other parameters
are determined by experimental data. Using the input data, consumption rate
is determined through a process minimizing the difference between the experimental
and numerical output. Effects of key parameters on oxygen concentration and
consumption rate are investigated.
School:Worcester Polytechnic Institute
School Location:USA - Massachusetts
Source Type:Master's Thesis
Keywords:coronary heart disease blood flow tomography emission
Date of Publication: