Intracranial atherosclerosis is a disease in which a sticky substance called plaque builds up inside the arteries. In practice, plaque analysis based on high resolution MRI is largely conducted manually by neuroradiologists with qualitative results. In this study, we propose a framework for intracranial vessel analysis (IVA), for semi-automatic morphological quantification of intracranial atherosclerotic plaque. Briefly, the framework includes functions of vessel path tracking, 3D MPR, vessel wall segmentation, measurement calculation, and report generation, with minimal user intervention required. Experiments show that plaque existence and location could be easily determined from the resulting vessel wall measures.