<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-27T21:55:08Z</responseDate><request verb="GetRecord" identifier="oai:uvadoc.uva.es:10324/58488" metadataPrefix="dim">https://uvadoc.uva.es/oai/request</request><GetRecord><record><header><identifier>oai:uvadoc.uva.es:10324/58488</identifier><datestamp>2026-03-26T09:22:27Z</datestamp><setSpec>com_10324_55583</setSpec><setSpec>com_10324_22818</setSpec><setSpec>com_10324_894</setSpec><setSpec>col_10324_55585</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
<dim:field mdschema="dc" element="contributor" qualifier="author" authority="3b4d7b63c9211afe" confidence="600" orcid_id="0000-0003-2390-5390">Rodríguez Galván, Justino Rafael</dim:field>
<dim:field mdschema="dc" element="contributor" qualifier="author" authority="dd576cacf2017370" confidence="600" orcid_id="0000-0002-1564-1199">París I Brandrés, Guillem Lluis</dim:field>
<dim:field mdschema="dc" element="contributor" qualifier="author" authority="a7207fbd8ee14565" confidence="600" orcid_id="0000-0002-4614-2501">Tristán Vega, Antonio</dim:field>
<dim:field mdschema="dc" element="contributor" qualifier="author" authority="d668f9d092c4b27e" confidence="600" orcid_id="0000-0003-3684-0055">Alberola López, Carlos</dim:field>
<dim:field mdschema="dc" element="date" qualifier="accessioned">2023-02-02T13:06:17Z</dim:field>
<dim:field mdschema="dc" element="date" qualifier="available">2023-02-02T13:06:17Z</dim:field>
<dim:field mdschema="dc" element="date" qualifier="issued">2023</dim:field>
<dim:field mdschema="dc" element="identifier" qualifier="citation" lang="es">Magnetic Resonance in Medicine, 2023.</dim:field>
<dim:field mdschema="dc" element="identifier" qualifier="issn" lang="es">0740-3194</dim:field>
<dim:field mdschema="dc" element="identifier" qualifier="uri">https://uvadoc.uva.es/handle/10324/58488</dim:field>
<dim:field mdschema="dc" element="identifier" qualifier="doi" lang="es">10.1002/mrm.29605</dim:field>
<dim:field mdschema="dc" element="identifier" qualifier="publicationtitle" lang="es">Magnetic Resonance in Medicine</dim:field>
<dim:field mdschema="dc" element="identifier" qualifier="essn" lang="es">1522-2594</dim:field>
<dim:field mdschema="dc" element="description" lang="es">Producción Científica</dim:field>
<dim:field mdschema="dc" element="description" qualifier="abstract" lang="es">Purpose:The aim of this paper is to show that geometrical criteria for designingmultishellq-space sampling procedures do not necessarily translate into recon-struction matrices with high figures of merit commonly used in the compressedsensing theory. In addition, we show that a well-known method for visitingk-space in radial three-dimensional acquisitions, namely, the Spiral Phyllotaxis,is a competitive initialization for the optimization of our nonconvex objectivefunction.Theory and Methods:We propose the gradient design method WISH (WeIght-ing SHells) which uses an objective function that accounts for weighted dis-tances between gradients withinM-tuples of consecutive shells, withMrangingbetween 1 and the maximum number of shellsS. All theM-tuples share thesame weight𝜔�M. The objective function is optimized for a sample of theseweights, using Spiral Phyllotaxis as initialization. State-of-the-art General Elec-trostatic Energy Minimization (GEEM) and Spherical Codes (SC) were used forcomparison. For the three methods, reconstruction matrices of the attenuationsignal using MAP-MRI were tested using figures of merit borrowed from theCompressed Sensing theory (namely, Restricted Isometry Property —RIP— andCoherence); we also tested the gradient design using a geometric criterion basedon Voronoi cells.Results:For RIP and Coherence, WISH got better results in at least one com-bination of weights, whilst the criterion based on Voronoi cells showed anunrelated pattern.Conclusion:The versatility provided by WISH is supported by better results.Optimization in the weight parameter space is likely to provide additionalimprovements. For a practical design with an intermediate number of gradients,our results recommend to carry out the methodology here used to determine theappropriate gradient table.</dim:field>
<dim:field mdschema="dc" element="description" qualifier="project" lang="es">Agencia Estatal de Investigación,(under Grants RTI2018-094569-B-I00,PID2020-115339RB-I00 and TED2021-130090B-I00)</dim:field>
<dim:field mdschema="dc" element="description" qualifier="project" lang="es">ESAOTE, Ltd (Grant/Award Number: 18IQBM)</dim:field>
<dim:field mdschema="dc" element="format" qualifier="mimetype" lang="es">application/pdf</dim:field>
<dim:field mdschema="dc" element="language" qualifier="iso" lang="es">eng</dim:field>
<dim:field mdschema="dc" element="publisher" lang="es">Wiley</dim:field>
<dim:field mdschema="dc" element="rights" qualifier="accessRights" lang="es">info:eu-repo/semantics/openAccess</dim:field>
<dim:field mdschema="dc" element="rights" qualifier="uri" lang="*">http://creativecommons.org/licenses/by-nc/4.0/</dim:field>
<dim:field mdschema="dc" element="rights" qualifier="holder" lang="es">© 2023 The Author(s)</dim:field>
<dim:field mdschema="dc" element="rights" lang="*">Atribución-NoComercial 4.0 Internacional</dim:field>
<dim:field mdschema="dc" element="subject" qualifier="classification" lang="es">Coherence</dim:field>
<dim:field mdschema="dc" element="subject" qualifier="classification" lang="es">Diffusion MRI</dim:field>
<dim:field mdschema="dc" element="subject" qualifier="classification" lang="es">Q-space sampling</dim:field>
<dim:field mdschema="dc" element="subject" qualifier="classification" lang="es">Voronoi</dim:field>
<dim:field mdschema="dc" element="subject" qualifier="unesco" lang="es">25 Ciencias de la Tierra y del Espacio</dim:field>
<dim:field mdschema="dc" element="subject" qualifier="unesco" lang="es">1204 Geometría</dim:field>
<dim:field mdschema="dc" element="title" lang="es">Diffusion sampling schemes: A generalized methodology with nongeometric criteria</dim:field>
<dim:field mdschema="dc" element="type" lang="es">info:eu-repo/semantics/article</dim:field>
<dim:field mdschema="dc" element="type" qualifier="hasVersion" lang="es">info:eu-repo/semantics/publishedVersion</dim:field>
<dim:field mdschema="dc" element="relation" qualifier="publisherversion" lang="es">https://onlinelibrary.wiley.com/doi/10.1002/mrm.29605</dim:field>
<dim:field mdschema="dc" element="peerreviewed" lang="es">SI</dim:field>
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