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MR brain image analysis in dementia: From quantitative imaging biomarkers to ageing brain models and imaging genetics

机译:痴呆症MR脑图像分析:从定量成像生物标志物到老化脑模型和成像遗传学

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摘要

MR brain image analysis has constantly been a hot topic research area in medical image analysis over the past two decades. In this article, it is discussed how the field developed from the construction of tools for automatic quantification of brain morphology, function, connectivity and pathology, to creating models of the ageing brain in normal ageing and disease, and tools for integrated analysis of imaging and genetic data. The current and future role of the field in improved understanding of the development of neurodegenerative disease is discussed, and its potential for aiding in early and differential diagnosis and prognosis of different types of dementia. For the latter, the use of reference imaging data and reference models derived from large clinical and population imaging studies, and the application of machine learning techniques on these reference data, are expected to play a key role. (C) 2016 Elsevier B.V. All rights reserved.
机译:在过去的二十年中,脑脑图像分析一直是医学图像分析中的热门研究区域。 在本文中,讨论了如何从脑形态,功能,连通性和病理学的自动量化工具的构建开发的领域如何为正常老化和疾病中的老化脑的模型,以及成像分析的综合分析工具 遗传数据。 讨论了该领域在改善对神经变性疾病发展的理解中的目前和未来作用,及其对不同类型痴呆的早期和鉴别诊断和预后的潜力。 对于后者,使用来自临床和群体成像研究的参考成像数据和参考模型,以及在这些参考数据上应用机器学习技术,预计将发挥关键作用。 (c)2016年Elsevier B.v.保留所有权利。

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