<?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>2026-04-28T19:04:46Z</responseDate><request verb="GetRecord" identifier="oai:uvadoc.uva.es:10324/58488" metadataPrefix="mods">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><mods:mods xmlns:mods="http://www.loc.gov/mods/v3" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
<mods:name>
<mods:namePart>Rodríguez Galván, Justino Rafael</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>París I Brandrés, Guillem Lluis</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Tristán Vega, Antonio</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Alberola López, Carlos</mods:namePart>
</mods:name>
<mods:extension>
<mods:dateAvailable encoding="iso8601">2023-02-02T13:06:17Z</mods:dateAvailable>
</mods:extension>
<mods:extension>
<mods:dateAccessioned encoding="iso8601">2023-02-02T13:06:17Z</mods:dateAccessioned>
</mods:extension>
<mods:originInfo>
<mods:dateIssued encoding="iso8601">2023</mods:dateIssued>
</mods:originInfo>
<mods:identifier type="citation">Magnetic Resonance in Medicine, 2023.</mods:identifier>
<mods:identifier type="issn">0740-3194</mods:identifier>
<mods:identifier type="uri">https://uvadoc.uva.es/handle/10324/58488</mods:identifier>
<mods:identifier type="doi">10.1002/mrm.29605</mods:identifier>
<mods:identifier type="publicationtitle">Magnetic Resonance in Medicine</mods:identifier>
<mods:identifier type="essn">1522-2594</mods:identifier>
<mods:abstract>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.</mods:abstract>
<mods:language>
<mods:languageTerm>eng</mods:languageTerm>
</mods:language>
<mods:accessCondition type="useAndReproduction">info:eu-repo/semantics/openAccess</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">http://creativecommons.org/licenses/by-nc/4.0/</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">© 2023 The Author(s)</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">Atribución-NoComercial 4.0 Internacional</mods:accessCondition>
<mods:titleInfo>
<mods:title>Diffusion sampling schemes: A generalized methodology with nongeometric criteria</mods:title>
</mods:titleInfo>
<mods:genre>info:eu-repo/semantics/article</mods:genre>
</mods:mods></metadata></record></GetRecord></OAI-PMH>