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dc.contributor.authorRodríguez Galván, Justino Rafael 
dc.contributor.authorVillacorta Aylagas, Pablo
dc.contributor.authorMerino Caviedes, Susana 
dc.contributor.authorSimmross Wattenberg, Federico Jesús 
dc.contributor.authorCastillo Passi, Carlos
dc.contributor.authorIrarrazaval, Pablo
dc.contributor.authorTristán Vega, Antonio 
dc.contributor.authorAlberola López, Carlos 
dc.date.accessioned2025-10-06T08:28:55Z
dc.date.available2025-10-06T08:28:55Z
dc.date.issued2025
dc.identifier.citationMagnetic Resonance in Medicine, 2025, p. 1-11es
dc.identifier.issn0740-3194es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/78320
dc.descriptionProducción Científicaes
dc.description.abstractPurpose: (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.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherWileyes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectResonancia Magnética por Difusiónes
dc.subjectPropagador promedio conjuntoes
dc.subjectSimuladores de Resonancia Magnéticaes
dc.subjectMuestreo aleatorioes
dc.titleSampling of non‐Gaussian Ensemble Average Propagators for the simulation of diffusion magnetic resonance imageses
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holder© 2025 The Author(s)es
dc.identifier.doi10.1002/mrm.70080es
dc.relation.publisherversionhttps://onlinelibrary.wiley.com/doi/epdf/10.1002/mrm.70080es
dc.identifier.publicationfirstpage1es
dc.identifier.publicationlastpage11es
dc.identifier.publicationtitleMagnetic Resonance in Medicinees
dc.peerreviewedSIes
dc.description.projectAgencia Estatal de Investigación,Grant Numbers: RTI2018-094569-B-I00, PID2020-115339RB-I00, PID2021-124407NB-I00es
dc.description.projectESAOTE Ltd.,Grant Number: 18IQBMes
dc.description.projectOpen access funding provided by FEDER European Funds and the Junta De Castilla y León under the Research and Innovation Strategy for Smart Specialization (RIS3) of Castilla y León 2021-2027.es
dc.identifier.essn1522-2594es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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