There is provided a method of processing a cerebrovascular medical image, the method comprising receiving magnetic resonance angiography (MRA) image associated with a cerebrovascular tissue comprising blood vessels and brain tissues other than blood vessels； segmenting MRA image using a prior appearance model for generating first prior appearance features representing a first-order prior appearance model and second appearance features representing a second-order prior appearance model of the cerebrovascular tissue, wherein current appearance model comprises a 3D Markov-Gibbs Random Field (MGRF) having a 2D rotational and translational symmetry such that MGRF model is 2D rotation and translation invariant； segmenting MRA image using current appearance model for generating current appearance features distinguishing blood vessels from other brain tissues； adjusting MRA image using first and second prior appearance features and current appearance futures； and generating an enhanced MRA image based on said adjustment. There is also provided a system for doing the same.
