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This paper proposes an extended family of structured spatial priors combining total variation (TV) with ℓ_p norms for Bayesian T1 mapping, enabling uncertainty quantification. The method is evaluated on synthetic and real MRI datasets, showing improved spatial coherence and reduced uncertainty.