NDLI: Theoretical simulation of temperature distribution in the brain during mild hypothermia treatment for brain injury

Content Provider	Springer Nature Link
Author	Zhu, L. Diao, C.
Copyright Year	2001
Abstract	Mild or moderate hypothermia (>30°C) has been proposed for clinical use as a therapeutic option for achieving protection from cerebral ischaemia in brain injury patients. In this research, a theoretical model was developed to examine the brain temperature gradients during selective cooling of the brain surface after head injury. The head was modelled as a hemisphere consisting of several layers, representing the scalp, skull and brain tissue, respectively. The dimensions, physical properties and physiological characteristics for each layer, as well as the arterial blood temperature, were used as the input to the Pennes bioheat transfer equation to simulate the steady-state temperature distribution within the brain. Depending on the head surface temperature, a temperature gradient of up to 13°C exists in the brain tissue. The results have shown that the volumetric-averaged brain tissue temperature T$_{bt, avg}$ for adults and infants can be 1.7 and 4.3°C, respectively, lower than the temperature of the arterial blood supplied to the brain tissue. The location where the probe should be placed to measure T$_{bt, avg}$ was also determined by the simulation. The calculation suggests that the temperature sensor should be placed 7.5mm and 5.9 mm beneath the brain tissue surface for adults and infants, respectively, to monitor T$_{bt, avg}$ continuously.
Starting Page	681
Ending Page	687
Page Count	7
File Format	PDF
ISSN	01400118
Journal	Medical and Biological Engineering and Computing
Volume Number	39
Issue Number	6
e-ISSN	17410444
Language	English
Publisher	Springer-Verlag
Publisher Date	2001-01-01
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Bioheat transfer Mild hypothermia Temperature Brain Simulation Brain injury Human Physiology Computer Applications Neurosciences Imaging Radiology Biomedical Engineering
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering Computer Science Applications

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