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Two-dimensional linear-combination model fitting of magnetic resonance spectra to define the macromolecule baseline using FiTAID, a Fitting Tool for Arrays of Interrelated Datasets

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cris.virtual.author-orcid0000-0002-8618-6875
cris.virtual.author-orcid0000-0001-8498-8543
cris.virtualsource.author-orcid762ad275-adf2-45e5-961d-3ba9b990b807
cris.virtualsource.author-orcidd3adfca6-9b25-4c05-a50b-402a99e7c34e
cris.virtualsource.author-orcidb30eee34-c625-455a-902e-25a7a70e6693
cris.virtualsource.author-orcid05897fd6-0ae5-4fc3-b3fd-8f4f9bd328a4
cris.virtualsource.author-orcid411ca3a1-03f1-48ad-98b1-cecb753516ac
datacite.rightsopen.access
dc.contributor.authorChong, Daniel
dc.contributor.authorKreis, Roland
dc.contributor.authorBolliger, Christine
dc.contributor.authorBoesch, Christoph Hans
dc.contributor.authorSlotboom, Johannes
dc.date.accessioned2024-10-10T20:40:57Z
dc.date.available2024-10-10T20:40:57Z
dc.date.issued2011
dc.description.abstractTo propose the determination of the macromolecular baseline (MMBL) in clinical 1H MR spectra based on T(1) and T(2) differentiation using 2D fitting in FiTAID, a general Fitting Tool for Arrays of Interrelated Datasets.
dc.description.numberOfPages18
dc.description.sponsorshipDIPR, Magnetresonanz-Spektroskopie und Methodologie (AMSM)
dc.description.sponsorshipUniversitätsinstitut für Diagnostische und Interventionelle Neuroradiologie
dc.identifier.doi10.7892/boris.1195
dc.identifier.isi000291041900004
dc.identifier.pmid21424575
dc.identifier.publisherDOI10.1007/s10334-011-0246-y
dc.identifier.urihttps://boris-portal.unibe.ch/handle/20.500.12422/71935
dc.language.isoen
dc.publisherSpringer-Verlag
dc.publisher.placeNew York, N.Y.
dc.relation.ispartofMagnetic resonance materials in physics, biology and medicine MAGMA
dc.relation.issn0968-5243
dc.relation.organizationMagnetic Resonance Spectroscopy and Methodology (MSM)
dc.relation.organizationInstitute of Diagnostic and Interventional Neuroradiology
dc.relation.urlhttps://boris.unibe.ch/1949/
dc.titleTwo-dimensional linear-combination model fitting of magnetic resonance spectra to define the macromolecule baseline using FiTAID, a Fitting Tool for Arrays of Interrelated Datasets
dc.typearticle
dspace.entity.typePublication
dspace.file.typetext
oaire.citation.endPage64
oaire.citation.issue3
oaire.citation.startPage147
oaire.citation.volume24
oairecerif.author.affiliationDIPR, Magnetresonanz-Spektroskopie und Methodologie (AMSM)
oairecerif.author.affiliationDIPR, Magnetresonanz-Spektroskopie und Methodologie (AMSM)
oairecerif.author.affiliationDIPR, Magnetresonanz-Spektroskopie und Methodologie (AMSM)
oairecerif.author.affiliationDIPR, Magnetresonanz-Spektroskopie und Methodologie (AMSM)
oairecerif.author.affiliationUniversitätsinstitut für Diagnostische und Interventionelle Neuroradiologie
oairecerif.identifier.urlhttp://rdcu.be/ytCj
unibe.contributor.rolecreator
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unibe.date.licenseChanged2019-10-24 16:08:34
unibe.description.ispublishedpub
unibe.eprints.legacyId1195
unibe.journal.abbrevTitleMAGN RESON MATER PHY
unibe.refereedtrue
unibe.subtype.articlejournal

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