Mapping human brain development at new spatial resolutions using machine learning and 7T MRI

使用机器学习和 7T MRI 以新的空间分辨率绘制人类大脑发育图

• 批准号: 2281627
• 金额: --
• 依托单位: King's College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2281627
• 关键词: Mapping; human; brain; development; new

In this PhD, we will aim to develop a high resolution normative model and atlas of the developing brain cortex and white matter utilising existing low resolution developmental MRI databases and machine learning to enhance its resolution. This will be based on limited cutting edge high resolution data obtained at 7T, while dramatically reducing the requirement for high numbers of long duration costly scans.

在本博士课程中，我们将利用现有的低分辨率发育性MRI数据库和机器学习来提高其分辨率，开发一个高分辨率的发育性大脑皮层和白质的规范模型和图谱。这将基于在7T下获得的有限的尖端高分辨率数据，同时大大减少了对大量长时间昂贵扫描的需求。