RT info:eu-repo/semantics/article T1 Sampling of non‐Gaussian Ensemble Average Propagators for the simulation of diffusion magnetic resonance images A1 Rodríguez Galván, Justino Rafael A1 Villacorta Aylagas, Pablo A1 Merino Caviedes, Susana A1 Simmross Wattenberg, Federico Jesús A1 Castillo Passi, Carlos A1 Irarrazaval, Pablo A1 Tristán Vega, Antonio A1 Alberola López, Carlos K1 Resonancia Magnética por Difusión K1 Propagador promedio conjunto K1 Simuladores de Resonancia Magnética K1 Muestreo aleatorio AB Purpose: (a) To design a methodology for drawing random samples of anyEnsemble Average Propagator (EAP) (b) to modify the KomaMRI simulatorto accommodate them as realistic spin movements to simulate diffusion MRI(dMRI) and (c) to compare these simulations with those based on the DiffusionTensor (DT) model.Theory and Methods: The rejection method is used for random sampling ofEAPs: starting from a probability law that is easily sampled, and whose densityfunction wraps the target EAP, samples are accepted when they lie inside thetargeted region. This is used to sample the EAP as described by Mean Appar-ent Propagator MRI (MAP-MRI) and in Spherical Convolution (SC) based onSpherical Harmonics (SH). With this methodology, MAP-MRI and SC repre-sentations are calculated over in-vitro pig hearts images, and a simulation of apulsed-gradient spin echo (PGSE) dMRI sequence inside the myocardial wall isundertaken with the KomaMRI simulator.Results: MAP-MRI shows better agreement with the actual acquisition thanconventional DT-based simulations, in terms of Mean Squared Errors and cor-relation with improvements up to 1.7 % for the former and 2.2 % for thelatter.Conclusion: dMRI sequences can be simulated accurately (yet, efficiently)if phantoms with a proper per-spin description of the diffusion process aremade available. Moreover, our findings suggest that the study of non-Gaussiandiffusion of the heart might be feasible, at least in vitro. PB Wiley SN 0740-3194 YR 2025 FD 2025 LK https://uvadoc.uva.es/handle/10324/78320 UL https://uvadoc.uva.es/handle/10324/78320 LA eng NO Magnetic Resonance in Medicine, 2025, p. 1-11 NO Producción Científica DS UVaDOC RD 21-oct-2025