Abstract- In this paper, we propose a novel way to produce voxel-based irregularity age map (IAM) for brain magnetic resonance image (MRI) to identify white matter hyperintensities (WMH) on scans with mild vascular pathology. Age map is a term used in computer graphic field that reveals age/progression of detected areas in images texture. In this work, age map is used to reveal the age of irregularity of brain tissue (i.e., hyperintensities). Age map of WMH is useful because it shows not only the probability of voxels to become WMH but also the scale in the progression of voxel to become WMH. Our approach interaction. We evaluated our approach using brain MRI data obtained from the Alzheimers Disease Neuroimaging Initiative (ADNI) database and visually compared the results with those obtained from the public toolbox Lesion Segmentation Toolbox (LST). We also evaluated our proposed approach on images from 10 different subjects using Dice similarity coefficient (DSC)