Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/11875
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dc.contributor.authorTournier, Jacques-Donalden
dc.contributor.authorCalamante, Fernandoen
dc.contributor.authorConnelly, Alanen
dc.date.accessioned2015-05-16T01:30:21Z
dc.date.available2015-05-16T01:30:21Z
dc.date.issued2013-08-29en
dc.identifier.citationNmr in Biomedicine 2013; 26(12): 1775-86en
dc.identifier.govdoc24038308en
dc.identifier.otherPUBMEDen
dc.identifier.urihttp://ahro.austin.org.au/austinjspui/handle/1/11875en
dc.description.abstractHigh-angular-resolution diffusion-weighted imaging (HARDI) is one of the most common MRI acquisition schemes for use with higher order models of diffusion. However, the optimal b value and number of diffusion-weighted (DW) directions for HARDI are still undetermined, primarily as a result of the large number of available reconstruction methods and corresponding parameters, making it impossible to identify a single criterion by which to assess performance. In this study, we estimate the minimum number of DW directions and optimal b values required for HARDI by focusing on the angular frequency content of the DW signal itself. The spherical harmonic (SH) series provides the spherical analogue of the Fourier series, and can hence be used to examine the angular frequency content of the DW signal. Using high-quality data acquired along 500 directions over a range of b values, we estimate that SH terms above l = 8 are negligible in practice for b values up to 5000 s/mm(2), implying that a minimum of 45 DW directions is sufficient to fully characterise the DW signal. l > 0 SH terms were found to increase as a function of b value, levelling off at b = 3000 s/mm(2), suggesting that this value already provides the highest achievable angular resolution. In practice, it is recommended to acquire more than the minimum of 45 DW directions to avoid issues with imperfections in the uniformity of the DW gradient directions and to meet signal-to-noise requirements of the intended reconstruction method.en
dc.language.isoenen
dc.subject.otherHARDIen
dc.subject.otherdiffusion-weighted MRIen
dc.subject.otherhigh-angular-resolution diffusion-weighted MRIen
dc.subject.otherAlgorithmsen
dc.subject.otherComputer Simulationen
dc.subject.otherDiffusion Magnetic Resonance Imagingen
dc.subject.otherHumansen
dc.subject.otherSignal-To-Noise Ratioen
dc.titleDetermination of the appropriate b value and number of gradient directions for high-angular-resolution diffusion-weighted imaging.en
dc.typeJournal Articleen
dc.identifier.journaltitleNMR in biomedicineen
dc.identifier.affiliationThe Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australiaen
dc.identifier.affiliationDepartment of Medicine, Austin Health and Northern Health, University of Melbourne, Melbourne, Victoria, Australiaen
dc.identifier.doi10.1002/nbm.3017en
dc.description.pages1775-86en
dc.relation.urlhttps://pubmed.ncbi.nlm.nih.gov/24038308en
dc.type.austinJournal Articleen
item.openairetypeJournal Article-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.cerifentitytypePublications-
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