Thermal Modeling of Head and Neck

提出的项目是开展头颈部系统的基本传热研究，以预测大脑温度。这项研究将涉及莱斯大学的一名工程研究人员和德克萨斯大学西南医学中心的一名医学研究人员的合作。目前有相当多的数据证明有必要了解缺氧缺血或缺氧缺血风险较大的婴儿的脑温度。类似的考虑也适用于其他患者年龄组，包括患有头部创伤的儿童和成人、先天性心脏病的手术矫正以及患有中风的成人。结合代谢产热与温度的关系、生理参数和调节机制对脑血流和颈部血管逆流传热的影响，建立头颈部热模型。作为a. Laptook博士正在进行的对UTSMC新生微型猪脑的研究的一部分，赖斯大学的Y. Bayazitoglu博士将获得额外的测量数据，将其包括在她的头颈部热模型中，以确定脑温度如何受到动脉氧张力，动脉二氧化碳张力，脑代谢率和脑缺血的急性改变的影响。本研究将为进一步了解脑损伤的发病机制，以及在治疗干预过程中监测脑温度提供重要的基础。此外，创建的数学模型最终将作为教学工具，通过将温度作为另一个变量来寻找最佳治疗方法。

The proposed project is to initiate a fundamental heat transfer study of the head and neck system to predict the brain temperature. The research will involve the collaborative efforts of an engineering research at Rice University and a medical researcher at the University of Texas Southwestern Medical Center. There is considerable data at present to justify the need to know the brain temperature in infants who have suffered hypoxia-ischemia, or are at great risk for hypoxia-ischemia. Similar considerations extend to other patient age groups including children and adults with head trauma, surgical correction of congenital heart disease, and adults with stroke. A thermal model for head and neck will be initiated by incorporating the relation between metabolic heat generation and temperature, the effect of physiological parameters and regulatory mechanisms on the cerebral blood flow and the countercurrent heat transfer in the neck's vessels. As a component of Dr. A. Laptook's ongoing investigations on newborn miniature swine brain at UTSMC, additional measurements will be made available to Dr. Y. Bayazitoglu at Rice to include them in her head and neck thermal modeling, to determine how brain temperature is affected by acute alterations in arterial oxygen tension, arterial carbon dioxide tension, brain metabolic rate, and brain ischemia.The initiated research will provide foundation of important future contributions in understanding the pathogenesis of brain injury, and in monitoring of brain temperature during therapeutic interventions. In addition, the created mathematical models will eventually be used as teaching tools to search for optimal treatment by incorporating temperature as another variable.