Enlarged perivascular spaces (EPVS) are common in Vascular Dementia (VaD) patients, associated with aging, inflammation, etc. Many studies address EPVS as it is related to count and volume but very few on the density using 3T MRI. Our aim in this study is to describe an effective and user-friendly computational method to aid in the perivascular spaces segmentation to yield EPVS count, volume and density in VaD patients. EPVS count, volume and density are significantly greater than in the control group (P<0.05). The results suggest that computational assessment of EPVS can further aid in an early diagnostic of VaD.