In recent years, Vessel Architectural Imaging (VAI) has emerged as a promising tool in tumor diagnosis to reveal unique MRI-based information on vessel architecture, hemodynamic efficacy and metabolic activity. Healthy control data may further advance our knowledge on the VAI method and its underlying mechanisms, as well as serve as study controls. Here we propose a set of healthy-tissue template maps of all VAI derived parameters which may act as a toolbox to identify anomalies of various vascular brain diseases and ultimately help improve diagnostic and outcome assessment in clinical settings.
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