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Abstract
Brain temperature is a crucial parameter for brain health and recovery after injury. This study develops a biophysical model using MRI data to predict personalized brain temperature distributions. The model, based on energy and mass conservation, is validated against experimental temperature measurements using whole-brain magnetic resonance-based thermometry. Results show strong agreement between model predictions and experimental data, highlighting the potential for personalized brain temperature predictions in clinical settings.
Publisher
Communications Physics
Published On
Apr 15, 2021
Authors
Dongsuk Sung, Peter A. Kottke, Benjamin B. Risk, Jason W. Allen, Fadi Nahab, Andrei G. Fedorov, Candace C. Fleischer
Tags
brain temperature
MRI data
biophysical model
personalized predictions
clinical settings

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