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dc.contributor.authorJang, Albert
dc.contributor.authorChan, Kwok‐Shing
dc.contributor.authorMareyam, Azma
dc.contributor.authorStockmann, Jason
dc.contributor.authorHuang, Susie Yi
dc.contributor.authorWang, Nian
dc.contributor.authorJang, Hyungseok
dc.contributor.authorLee, Hong‐Hsi
dc.contributor.authorLiu, Fang
dc.date.accessioned2025-09-24T16:19:42Z
dc.date.available2025-09-24T16:19:42Z
dc.date.issued2025-03-17
dc.identifier.issn0740-3194
dc.identifier.issn1522-2594
dc.identifier.urihttps://hdl.handle.net/1721.1/162792
dc.description.abstractPurpose: Introduce a unified acquisition and modeling strategy to simul-taneously quantify magnetization transfer (MT), tissue susceptibility (𝜒)and T∗2 . Theory and Methods: Magnetization transfer is induced through the appli-cation of off-resonance irradiation between excitation and acquisition of anRF-spoiled gradient-echo scheme, where free pool spin–lattice relaxation (TF1 ),macromolecular proton fraction (f ) and magnetization exchange rate (kF ) werecalculated by modeling the magnitude of the MR signal using a binary spin-bathMT model with B+1 inhomogeneity correction via Bloch-Siegert shift. Simultane-ously, a multi-echo acquisition is incorporated into this framework to measurethe time evolution of both signal magnitude and phase, which was further mod-eled for estimating T∗2 and tissue susceptibility. In this work, we demonstratethe feasibility of this new acquisition and modeling strategy in vivo on the braintissue. Results: In vivo brain experiments were conducted on five healthy subjects tovalidate our method. Utilizing an analytically derived signal model, we simul-taneously obtained 3D TF1 , f , kF , 𝜒 and T∗2 maps of the whole brain. Our resultsfrom the brain regional analysis show good agreement with those previouslyreported in the literature, which used separate MT and QSM methods.Conclusion: A unified acquisition and modeling strategy based on an analyticalsignal model that fully leverages both the magnitude and phase of the acquiredsignals was demonstrated and validated for simultaneous MT, susceptibility andT∗2 quantification that are free from B+1 bias.en_US
dc.publisherWileyen_US
dc.relation.isversionofhttps://doi.org/10.1002/mrm.30493en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceWileyen_US
dc.titleSimultaneous 3D quantitative magnetization transfer imaging and susceptibility mappingen_US
dc.typeArticleen_US
dc.identifier.citationJang A, Chan K-S, Mareyam A, et al. Simultaneous 3D quantitative magnetization transfer imaging and susceptibility mapping. Magn Reson Med. 2025; 94: 735-744.en_US
dc.contributor.departmentMartinos Imaging Center (McGovern Institute for Brain Research at MIT)en_US
dc.relation.journalMagnetic Resonance in Medicineen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.identifier.doihttps://doi.org/10.1002/mrm.30493
dspace.date.submission2025-09-22T15:18:34Z
mit.journal.volume94en_US
mit.journal.issue2en_US
mit.licensePUBLISHER_CC


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