Abstract:In order to effectively detect the accelerated aging of brain and early prevent and monitor neurodegenerative diseases, this study selected network topology parameter features which were closely related to ages though the construction of the brain structural network and graph theory analysis based on diffusion tensor imaging (DTI). Then multiple linear regression of the features was used to establish a brain aging prediction model. The mean absolute error and the root mean square error of the model between the predicted age and actual age of the subject were 1.97 years and 2.34 years, respectively. Compared with other models, this model owns good accuracy and stability. Based on the application of the model, the brain age of the subject could be evaluated objectively according to their DTI images.
徐小亭,林岚,吴水才. 基于DTI影像建立大脑老化预测模型的研究[J]. 中国医疗设备, 2014, 29(12): 19-23.
XU Xiao-ting, LIN Lan, WU Shui-cai. Research on Brain Aging Prediction Model Based on DTI Images. China Medical Devices, 2014, 29(12): 19-23.
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