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dc.contributorVall d'Hebron Barcelona Hospital Campus
dc.contributor.authorBiondetti, Emma
dc.contributor.authorKarsa, Anita
dc.contributor.authorBattiston, Marco
dc.contributor.authorYiannakas, Marios
dc.contributor.authorThomas, David L.
dc.contributor.authorShmueli, Karin
dc.contributor.authorGrussu, Francesco
dc.date.accessioned2022-09-13T09:34:44Z
dc.date.available2022-09-13T09:34:44Z
dc.date.issued2022-11
dc.identifier.citationBiondetti E, Karsa A, Grussu F, Battiston M, Yiannakas MC, Thomas DL, et al. Multi-echo quantitative susceptibility mapping: how to combine echoes for accuracy and precision at 3 Tesla. Magn Reson Med. 2022 Nov;88(5):2101-16.
dc.identifier.issn1522-2594
dc.identifier.urihttps://hdl.handle.net/11351/8177
dc.descriptionImatge per ressonància magnètica; QSM de ressò múltiple; Mapeig quantitatiu de susceptibilitat
dc.description.sponsorshipSupported by the UK Engineering and Physical Sciences Research Council (EPSRC), award number: 1489882 (e.b.); by the EPSRC-funded UCL Centre for Doctoral Training in Medical Imaging, grant EP/L016478/1 (a.k.), and the Department of Health's National Institute for Health Research funded Biomedical Research Centre at University College London Hospitals (a.k.); by the UCL Leonard Wolfson Experimental Neurology Centre, grant PR/ylr/18575 (d.l.t) The Queen Square MS Centre, where part of the MRI scans for this work were performed, is supported by grants from the UK MS Society and by the National Institute for Health Research University College London Hospitals Biomedical Research Centre (UCLH/BRC). F. Grussu was supported by PREdICT, a study at the Vall d'Hebron Institute of Oncology in Barcelona funded by AstraZeneca (f.g.), and funding from the postdoctoral fellowships program Beatriu de Pinós (2020 BP 00117), funded by the Secretary of Universities and Research, Government of Catalonia (f.g.)
dc.language.isoeng
dc.publisherWiley
dc.relation.ispartofseriesMagnetic Resonance in Medicine;88(5)
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceScientia
dc.subjectCervell - Imatgeria
dc.subjectCartografia cerebral
dc.subjectImatgeria per ressonància magnètica
dc.subject.meshMagnetic Resonance Imaging
dc.subject.meshBrain Mapping
dc.subject.meshBrain
dc.subject.mesh/diagnostic imaging
dc.titleMulti-echo quantitative susceptibility mapping: how to combine echoes for accuracy and precision at 3 Tesla
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1002/mrm.29365
dc.subject.decsimagen por resonancia magnética
dc.subject.decsmapeo encefálico
dc.subject.decsencéfalo
dc.subject.decs/diagnóstico por imagen
dc.relation.publishversionhttps://doi.org/10.1002/mrm.29365
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.audienceProfessionals
dc.contributor.organismesInstitut Català de la Salut
dc.contributor.authoraffiliation[Biondetti E] Institute for Advanced Biomedical Technologies, Department of Neuroscience, Imaging and Clinical Sciences, “D’Annunzio University” of Chieti-Pescara, Chieti, Italy. Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom. [Karsa A, Shmueli K] Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom. [Grussu F] NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom. Radiomics Group, Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain. [Battiston M, Yiannakas MC] NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom. [Thomas DL] Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom. Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
dc.identifier.pmid35766450
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess


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