Keywords: Machine Learning/Artificial Intelligence, Vessels
Motivation: Altered angiogenesis is reported to be a key feature of vascular perturbation in AD brains.
Goal(s): There is missing global mapping tool to investigate the brain-wide vascular distribution pattern changes due to degenerative pathogenesis in AD brains.
Approach: Here, we applied the pre-trained 3D U-net to super-resolve iron-particle (MION)-based CBV images from 75µm to 37.5 µm.
Results: By performing voxel-wise differential vascular density mapping analysis, we have revealed AD-specific vascular distribution changes from in vivo MION-based MRI images.
Impact: We developed an ultra-high resolution MION-based vascular density mapping method to verify the altered brain-wide vascular distribution pattern in AD mice. Using a pre-trained 3D U-net neural network, we can produce vascular maps with super-resolved 37.5µm isotropic resolution.
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