The invention provides an intracranial atherosclerotic plaque progress
early warning system and method based on multi-stage MRA image and multi-
modal blood flow parameter fusion, and is applied to the technical field of medical
data processing. The method comprises the following steps: on the basis of a patient baseline, a follow-up period MRA image and a
black blood sequence magnetic
resonance image, firstly obtaining
blood vessel binary volume data through a
blood vessel segmentation technology, and generating a
blood vessel geometric model through curved
surface construction and triangularization; and converting the target blood vessel into a surface model,
processing and encrypting the narrow area by using gridding
software to obtain a target blood vessel grid, and further obtaining whole-brain whole-brain hemodynamic parameters. Subsequently, a high-
risk area is determined according to
blood flow parameter characteristic values of an anatomical segment, a structured matrix is established, parameter change abnormity is compared, a plaque progress index is defined, after parameter differences are grouped and compared, a risk prediction model is established by fusing various types of information, and finally, a multi-dimensional
visualization and quantification result is generated by combining three-dimensional blood vessel space information. And support is provided for early warning of the progress of the intracranial atherosclerotic