New mathematical models for capturing heterogeneity of human brain tissue

该项目旨在了解脑组织的异质性对健康和疾病人脑的磁共振成像(MRI)数据的影响，并从数据中提取和量化关于异质性的信息。该项目旨在开发新的数学和计算方法来模拟人脑的异质性。该项目旨在根据不同脑组织之间的异质性程度，确定用于对不同脑部疾病进行分类的新生物标记物。结果将与患者的大量MRI扫描数据进行验证。该项目旨在推进人脑MRI数据分析的最新技术。

This project aims to understand the impact of the heterogeneity of brain tissue on Magnetic Resonance Imaging (MRI) data in both healthy and diseased human brains, and to extract and quantify information on heterogeneity from the data. The project aims to develop novel mathematical and computational approaches to model the heterogeneity of the human brain. The project aims to identify new biomarkers for classifying different brain diseases, based on the extent of heterogeneity across different brain tissue. Results will be validated against extensive MRI scanning data of patients. This project aims to advance state-of-the-art techniques in human brain MRI data analysis.