Early detection of MCI and dementia using multidimensional analysis of structural MRI by computational methods

利用计算方法对结构 MRI 进行多维分析，早期检测 MCI 和痴呆症

• 批准号: nhmrc : 510175
• 负责人: A/Pr Mirza Beg
• 金额: $ 38.91万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: NHMRC Project Grants
• 财政年份: 2008
• 资助国家: 澳大利亚
• 起止时间: 2008-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/early-detection-mci-computational-methods/97307
• 关键词: Early; detection; MCI; dementia; using

Dementia in elderly is a major public health problem, and mild cognitive impairment (MCI), is even more common. We propose to use recent computational anatomy algorithms from our group to develop novel multidimensional imaging biomarkers for early detection of brain anatomical changes due to MCI-dementia. We aim at identifying early signatures of MCI-dementia, thus making early treatment possible. The completion of our research will provide clinicians with new methods for the early diagnosis.

老年痴呆是一个重要的公共卫生问题，而轻度认知功能障碍（MCI）更为常见。我们建议使用我们小组最近的计算解剖学算法来开发新的多维成像生物标志物，用于早期检测MCI痴呆引起的脑解剖学变化。我们的目标是识别MCI痴呆的早期特征，从而使早期治疗成为可能。本研究的完成将为临床医生提供早期诊断的新方法。