Keywords: Data Processing, Analysis/Processing, QSM, beta-amyloid plaque, Alheimer's Disease
Motivation: Low-rank and sparsity matrix decomposition (LRaSMD) combined with orthogonal projection effectively removes complex background, making beta-amyloid plaque (Aβ) detection straightforward.
Goal(s): A whole-mouse beta-amyloid plaque loading map provides a more accurate and comprehensive assessment of Alzheimer’s disease progression.
Approach: Multi-echo gradient echo images of 5xFAD female mice (ages 2, 4, 7.5, and 12 months; 5, 6, 7, and 7 mice per group) were acquired at 9.4T. QSM images were then calculated, followed by LRaSMD and Aβ detection.
Results: The Aβ plaques loading are dramatically different among different stages, aligning with the progression observed at each stage.
Impact: A 3D whole-brain image of Aβ plaques has the potential to serve as an imaging model for accurate and comprehensive assessment of Alzheimer's disease progression at different stages.
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