A multi-modal framework for characterizing myelin microstructure

用于表征髓鞘微结构的多模式框架

• 批准号: RGPIN-2016-06774
• 负责人: Stikov, Nikola
• 金额: $ 1.75万
• 依托单位: École Polytechnique de Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=632972
• 关键词: multi; modal; framework; characterizing; myelin

Magnetic resonance imaging (MRI) shows great promise for characterizing brain microstructure during development, aging, disease, and treatment. However, with its current resolution (on the order of millimeters), MRI remains a blunt tool that provides only a birds-eye view of the complex network of fibers (on the order of micrometers) that make up the bulk of white matter in the brain. The last ten years have seen tremendous advances in the field of quantitative magnetic resonance imaging (qMRI), enabling us to glean microstructural information on a scale that is orders of magnitude smaller than the native MRI resolution. Being able to do so will increase our understanding of brain development and become an invaluable tool for diagnosis and treatment of neurodegenerative disorders.

磁共振成像（MRI）显示了很大的希望，在发育，衰老，疾病和治疗过程中的大脑微观结构的特征。然而，以目前的分辨率（毫米级），MRI仍然是一种钝工具，只能提供构成大脑中大部分白色物质的复杂纤维网络（微米级）的鸟瞰图。在过去的十年中，我们在定量磁共振成像（qMRI）领域取得了巨大的进步，使我们能够在比原生MRI分辨率小几个数量级的尺度上收集微观结构信息。能够这样做将增加我们对大脑发育的理解，并成为诊断和治疗神经退行性疾病的宝贵工具。