基于动态磁敏感对比的脑肿瘤成像中脑血容量图的自动标准化方法。
An automatic procedure for normalization of cerebral blood volume maps in dynamic susceptibility contrast-based glioma imaging.
机构信息
Department of Medical Physics, Oslo University Hospital, Oslo, Norway.
出版信息
AJNR Am J Neuroradiol. 2009 Nov;30(10):1929-32. doi: 10.3174/ajnr.A1680. Epub 2009 Jul 23.
Abstract
To characterize gliomas from dynamic susceptibility contrast (DSC)-based cerebral blood volume (CBV) maps, a CBV value from a normal-appearing region of interest is typically identified manually and used to normalize the CBV maps. This method is user-dependent and time-consuming. We propose an alternative approach based on automatic identification of normal-appearing first-pass curves from brain tissue. Our results in 101 patients suggest similar or better diagnostic accuracy values than the manual approach.
摘要
为了从基于动态对比磁共振成像（DSC）的脑血容量（CBV）图中对脑胶质瘤进行特征描述，通常需要手动识别正常感兴趣区的 CBV 值，并用于对 CBV 图进行归一化。这种方法依赖于用户且耗时。我们提出了一种基于从脑组织中自动识别正常首过曲线的替代方法。我们在 101 例患者中的结果表明，与手动方法相比，该方法具有相似或更好的诊断准确性值。
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