A probabilistic denoising diffusion-based framework for even higher accelerated quantitative MRI
Published in ISMRM 2025, 2025
Recommended citation: Perla Mayo, Carolin M. Pirkl, Alin Achim, Bjoern Menze, and Mohammad Golbabaee. "A probabilistic denoising diffusion-based framework for even higher accelerated quantitative MRI" in ISMRM 2025
Impact
Impact: Our proposed approach enables the efficient use of Improved Denoising Diffusion Probabilistic Models for reconstructing highly accelerated quantitative MRI acquisitions, such as Magnetic Resonance Fingerprinting, leading to more accurate tissue parameter estimations.