Keywords: Quantitative Imaging, Tumors, head, multi-pool, Lorentzian, separable nonlinear
Motivation: Asymmetric spectral analysis of multi-pool CEST MRI directly from largely incomplete measurements is challenging due to its nonlinearity and data scarcity in $$$k$$$-$$$w$$$ space. Conventional Lorentzian analysis is limited, considering only one-dimensional variation in spectral signals while not fully exploiting physics constraints.
Goal(s): To develop a robust parameter estimation method for multi-pool CEST spectral analysis with highly incomplete measurements.
Approach: We proposed a multi-pool CEST-specific, nonlinear separable model with physics-constrained spectral-spatial priors and performed patient studies with brain tumors.
Results: The proposed method yields clear CEST parameter maps in brain tumor regions, demonstrating feasible whole-brain CEST MRI (1.8mm$$$^3$$$) in under 4 minutes.
Impact: The proposed method yields robust multi-pool CEST spectral analysis even with highly incomplete measurements, enabling whole brain CEST MRI (1.8mm$$$^3$$$) in less than 4 minutes.
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