High resolution 3D black blood MRI with sub-millimeter spatial resolution has been proposed for visualizing small vessels of the brain. Here we present and evaluate a novel approach for mapping brain vessel density from 3D black blood images acquired at 3T. Using automated vessel segmentation and non-linear registration, localized detection and quantification of small vessel density is demonstrated to be feasible. This framework can potentially serve as a useful tool for detection and monitoring of localized vascular changes in aging and neurovascular disorders.
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