The invention provides an automatic image processing and displaying method based on a magnetic resonance cerebral perfusion image, which is used for assisting in evaluating cerebral ischemia disease risks and is characterized by comprising spatial deformation, multi-parameterization, brain map coverage and a method for evaluating ischemic cerebral disease risks. The image space deformation methodcomprises the following steps: head movement correction, which is used for adjusting a space difference generated by head movement in a cerebral perfusion imaging process; and standard brain registration: taking the standard brain as a reference to realize standardization of the imported cerebral perfusion image. The multi-parameterization is used for converting the original nuclear magnetic datainto cerebral image perfusion parameters such as cerebral blood flow, cerebral blood volume and artery arrival time, wherein the coverage brain map is used for enabling the parameterized cerebral perfusion image data to cover standard brain maps of different templates to form different regions of interest, and calculating average parameter values of the different regions of interest.The standard cerebral map comprises a cerebral artery blood supply area and an early CT scoring area of an Albetan stroke project. The ischemic brain disease risk assessment method is used for comparing the averageparameter value of the region of interest with a reference range, displaying the differentiation degree and automatically displaying the region of interest beyond the reference range. According to the invention, multi-parameter automatic partitioning and quantitative processing from nuclear magnetic cerebral perfusion original number to ischemic cerebral disease early-stage risk assessment are realized, and an effective assessment method is provided for early-stage screening, early-stage diagnosis and early-stage treatment of cerebral ischemic diseases.