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...

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Bibliographic Details
Main Author: Yan, Fu
Other Authors: Dalin Tang, Advisor
Format: Others
Published: Digital WPI 2003
Subjects:
PET
Online Access:https://digitalcommons.wpi.edu/etd-theses/483
https://digitalcommons.wpi.edu/cgi/viewcontent.cgi?article=1482&context=etd-theses
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spelling ndltd-wpi.edu-oai-digitalcommons.wpi.edu-etd-theses-14822019-03-22T05:45:15Z Computational Modeling of Oxygen Consumption in the Heart Based on PET Measurements Yan, Fu 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. 2003-04-29T07:00:00Z text application/pdf https://digitalcommons.wpi.edu/etd-theses/483 https://digitalcommons.wpi.edu/cgi/viewcontent.cgi?article=1482&context=etd-theses Masters Theses (All Theses, All Years) Digital WPI Dalin Tang, Advisor oxygen consumption PET blood flow Coronary heart disease Blood flow Tomography Emission
collection NDLTD
format Others
sources NDLTD
topic oxygen consumption
PET
blood flow
Coronary heart disease
Blood flow
Tomography
Emission
spellingShingle oxygen consumption
PET
blood flow
Coronary heart disease
Blood flow
Tomography
Emission
Yan, Fu
Computational Modeling of Oxygen Consumption in the Heart Based on PET Measurements
description 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.
author2 Dalin Tang, Advisor
author_facet Dalin Tang, Advisor
Yan, Fu
author Yan, Fu
author_sort Yan, Fu
title Computational Modeling of Oxygen Consumption in the Heart Based on PET Measurements
title_short Computational Modeling of Oxygen Consumption in the Heart Based on PET Measurements
title_full Computational Modeling of Oxygen Consumption in the Heart Based on PET Measurements
title_fullStr Computational Modeling of Oxygen Consumption in the Heart Based on PET Measurements
title_full_unstemmed Computational Modeling of Oxygen Consumption in the Heart Based on PET Measurements
title_sort computational modeling of oxygen consumption in the heart based on pet measurements
publisher Digital WPI
publishDate 2003
url https://digitalcommons.wpi.edu/etd-theses/483
https://digitalcommons.wpi.edu/cgi/viewcontent.cgi?article=1482&context=etd-theses
work_keys_str_mv AT yanfu computationalmodelingofoxygenconsumptionintheheartbasedonpetmeasurements
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