Automated normalization of cerebral blood volume maps

摘要

The invention relates to automated normalization of cerebral blood volume maps, from perfusion MR images such as dynamic susceptibility contrast (DSC) images. According to the invention, noisy pixels are identified and excluded, tumor pixels are identified and excluded, and pixels thought to represent normal-appearing brain tumor are identified and used to assess a mean reference CBV value for each DSC-slice. This normalization procedure is particularly useful for normalizing CBV maps in DCS-based glioma images.