Abstract:Purpose: Non-invasive quantification of cerebral metabolic rate for glucose (CMRGlc) and characterizing cerebral metabolism of cerebrovascular territories are useful for the understanding of ischemic cerebrovascular disease (ICVD). Here, we proposed a non-invasive quantification approach based on image-derived input function (IDIF) suitable for ICVD patients and monitored the pathophysiological changes after surgical intervention.Methods: Sixteen healthy controls and 26 ischemic cerebrovascular disease patient… Show more
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