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Modelling the thermal impact of a discrete vessel tree
A N Kotte1, G M van Leeuwen, J J Lagendijk
1Department of Radiotherapy, University Hospital Utrecht, The Netherlands.
Physics in Medicine and Biology
|March 11, 1999
Summary
This study presents a novel modeling technique for calculating blood temperature variations within a vessel tree. The method accurately accounts for thermal exchange with surrounding tissues, improving simulation accuracy for blood flow and temperature distribution.
Area of Science:
- Physiology
- Biomedical Engineering
- Computational Modeling
Background:
- Accurate modeling of thermal exchange between blood and tissues is crucial for understanding physiological processes and developing targeted therapies.
- Existing models often simplify or neglect the thermal impact of microvasculature, leading to potential inaccuracies.
- The thermal influence of the vasculature is complex due to branching structures and varying blood flow rates.
Purpose of the Study:
- To develop and present a computational modeling technique for calculating the thermal influence of a complete vessel tree.
- To incorporate the thermal effects of discrete vessel segments and the collective impact of smaller, unmodelled vasculature.
- To validate the model's capability in simulating blood temperature distribution within a tissue environment.
Main Methods:
- A modeling technique was developed to calculate the thermal influence of individual vessel segments.
- These segments were combined to represent a complete vessel tree, with temperature corrections applied at junctions.
- The 'sink set' and 'sample set' concepts were introduced to account for thermal equilibration and inflow temperatures, respectively, for unmodelled vasculature.
Main Results:
- The model successfully simulates the thermal influence of a vessel tree, including the effects of discrete segments and microvasculature.
- Blood temperature leaving the arterial network does not necessarily equilibrate with local tissue temperature.
- Using the entire simulation volume as sink and sample sets for terminal branches yielded the best match with reference temperature profiles.
Conclusions:
- The presented method offers a comprehensive approach to modeling the thermal impact of vasculature within a tissue.
- The 'sink set' and 'sample set' provide a robust framework for incorporating the thermal effects of both large and small vessels.
- Further research into the formation of these sets will enhance the model's predictive power and applicability in various biomedical simulations.