Abstract #3411

Multi-atlas based Detection and Localization (MADL) of White Matter Hyperintensities: Relationship with Amyloid Accumulation and Vascular Risks

Dan Wu¹, Kenichi Oishi¹, Anja Soldan², Corinne Pettigrew², Chenfei Ye¹, Michael I Miller³, Marilyn Albert², and Susumu Mori¹

¹Radiology, Johns Hopkins University School of Medicine, BALTIMORE, MD, United States, ²Neurology, Johns Hopkins University School of Medicine, BALTIMORE, MD, United States, ³Biomedical Engineering, Johns Hopkins University School of Medicine, BALTIMORE, MD, United States

Recent findings suggest white matter hyperintensities (WMH) that appear on FLAIR images may play a role in the evolution of Alzheimer’s disease (AD). Here, we developed a novel algorithm that simultaneously detects and locates WMH, based on a FLAIR atlas database and a multi-atlas fusion algorithm. The method showed a respectful WMH detection accuracy. We also investigated region-specific WMH load in participants for whom amyloid imaging and vascular data were available. The results suggested that posterior WMH is related to amyloid deposition; whereas anterior and parietal WMH is associated with vascular risk factors.

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