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首页> 外文期刊>Medical image analysis >Extracting parametric images from dynamic contrast-enhanced MRI studies of the brain using factor analysis.
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Extracting parametric images from dynamic contrast-enhanced MRI studies of the brain using factor analysis.

机译:使用因素分析从动态对比增强的MRI MRI研究中提取参数图像。

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Factor analysis of dynamic studies (FADS) is a technique that allows structures with different temporal characteristics to be extracted from dynamic contrast enhanced studies without making any a priori assumptions about physiology. These dynamic structures may correspond to different tissue types or different organs or they may simply be a useful way of characterising the data. This paper describes a method of automatically extracting factor images and curves from contrast enhanced MRI studies of the brain. This method has been applied to 107 studies carried out on patients with acute stroke. The results show that FADS is able to extract factor curves correlated to arterial and venous signal intensity curves and that the corresponding factor images allow a distinction to be made between areas of the brain with normal and abnormal perfusion. The method is robust and can be applied routinely to dynamic studies of the brain. The constraints described are sufficiently general to be applicable to other dynamic MRI contrast enhanced studies where an increase in contrast concentration produces an increase in signal intensity.
机译:动态研究的因子分析(FADS)是一项技术,可以从动态对比增强研究中提取具有不同时间特征的结构,而无需对生理学做出任何先验假设。这些动态结构可能对应于不同的组织类型或不同的器官,或者它们可能只是表征数据的有用方法。本文介绍了一种从对比度增强的MRI研究中自动提取因子图像和曲线的方法。该方法已应用于针对急性中风患者的107项研究。结果表明,FADS能够提取与动脉和静脉信号强度曲线相关的因子曲线,并且相应的因子图像可以区分正常和异常灌注的大脑区域。该方法是鲁棒的,可以常规地应用于大脑的动态研究。所描述的约束足够笼统,可应用于其他动态MRI对比度增强研究,在这些研究中,造影剂浓度的增加会导致信号强度的增加。

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