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Impact of susceptibility-induced distortion correction on perfusion imaging by pCASL with a segmented 3D GRASE readout

dc.contributor.authorDomingos, Catarina
dc.contributor.authorFouto, Ana R.
dc.contributor.authorNunes, Rita G.
dc.contributor.authorRuiz-Tagle, Amparo
dc.contributor.authorEsteves, Inês
dc.contributor.authorSilva, Nuno A.
dc.contributor.authorVilela, Pedro
dc.contributor.authorGil-Gouveia, Raquel
dc.contributor.authorFigueiredo, Patrícia
dc.date.accessioned2023-07-12T10:48:37Z
dc.date.available2023-07-12T10:48:37Z
dc.date.issued2023-10
dc.description.abstractPurpose: The consensus for the clinical implementation of arterial spin labeling (ASL) perfusion imaging recommends a segmented 3D Gradient and Spin-Echo (GRASE) readout for optimal signal-to-noise-ratio (SNR). The correction of the associated susceptibility-induced geometric distortions has been shown to improve diagnostic precision, but its impact on ASL data has not been systematically assessed and it is not consistently part of pre-processing pipelines. Here, we investigate the effects of susceptibility-induced distortion correction on perfusion imaging by pseudo-continuous ASL (pCASL) with a segmented 3D GRASE readout. Methods: Data acquired from 28 women using pCASL with 3D GRASE at 3T was analyzed using three pre-processing options: without distortion correction, with distortion correction, and with spatial smoothing (without distortion correction) matched to control for blurring effects induced by distortion correction. Maps of temporal SNR (tSNR) and relative perfusion were analyzed in eight regions-of-interest (ROIs) across the brain. Results: Distortion correction significantly affected tSNR and relative perfusion across the brain. Increases in tSNR were like those produced by matched spatial smoothing in most ROIs, indicating that they were likely due to blurring effects. However, that was not the case in the frontal and temporal lobes, where we also found increased relative perfusion with distortion correction even compared with matched spatial smoothing. These effects were found in both controls and patients, with no interactions with the participant group. Conclusion: Correction of susceptibility-induced distortions significantly impacts ASL perfusion imaging using a segmented 3D GRASE readout, and this step should therefore be considered in ASL pre-processing pipelines. This is of special importance in clinical studies, reporting perfusion across ROIs defined on relatively undistorted images and when conducting group analyses requiring the alignment of images across different subjects.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1016/j.mri.2023.06.010pt_PT
dc.identifier.eid85162850560
dc.identifier.issn0730-725X
dc.identifier.pmid37343905
dc.identifier.urihttp://hdl.handle.net/10400.14/41674
dc.identifier.wos001056515300001
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subject3D GRASEpt_PT
dc.subjectArterial spin labelingpt_PT
dc.subjectPerfusionpt_PT
dc.subjectSpatial smoothingpt_PT
dc.subjectSusceptibility-induced distortion correctionpt_PT
dc.titleImpact of susceptibility-induced distortion correction on perfusion imaging by pCASL with a segmented 3D GRASE readoutpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage150pt_PT
oaire.citation.startPage141pt_PT
oaire.citation.titleMagnetic Resonance Imagingpt_PT
oaire.citation.volume102pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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