[Quantitative Assessment of White Matter Lesions]

Cerebral White Matter Lesions (CWMLs) contribute to normal human behavioral and memory impairments, leading to life-threatening diseases and disorders. Quantitative assessment is crucial to enable accurate microstructural diagnosis and to mitigate associated morbidity. In this review, we examined contemporary trends and available strategies across scientific, commercial, and automation domains, and identified neuroimaging assisted by Artificial Intelligence (AI) as a promising approach for advancing CWML evaluation. In addition, brain docking with voxel-based morphometry techniques indicate that age, lifestyle, and stress are major contributors to CWML formation and may serve as useful parameters for monitoring and therapeutic planning. Our study may help guide future research into the microstructural-level pathological mechanisms of CWML and the development of real-time diagnosis.