| dc.contributor.author | Jang, Albert | |
| dc.contributor.author | Chan, Kwok‐Shing | |
| dc.contributor.author | Mareyam, Azma | |
| dc.contributor.author | Stockmann, Jason | |
| dc.contributor.author | Huang, Susie Yi | |
| dc.contributor.author | Wang, Nian | |
| dc.contributor.author | Jang, Hyungseok | |
| dc.contributor.author | Lee, Hong‐Hsi | |
| dc.contributor.author | Liu, Fang | |
| dc.date.accessioned | 2025-09-24T16:19:42Z | |
| dc.date.available | 2025-09-24T16:19:42Z | |
| dc.date.issued | 2025-03-17 | |
| dc.identifier.issn | 0740-3194 | |
| dc.identifier.issn | 1522-2594 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/162792 | |
| dc.description.abstract | Purpose: 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.publisher | Wiley | en_US |
| dc.relation.isversionof | https://doi.org/10.1002/mrm.30493 | en_US |
| dc.rights | Creative Commons Attribution | en_US |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
| dc.source | Wiley | en_US |
| dc.title | Simultaneous 3D quantitative magnetization transfer imaging and susceptibility mapping | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Jang 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.department | Martinos Imaging Center (McGovern Institute for Brain Research at MIT) | en_US |
| dc.relation.journal | Magnetic Resonance in Medicine | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dc.identifier.doi | https://doi.org/10.1002/mrm.30493 | |
| dspace.date.submission | 2025-09-22T15:18:34Z | |
| mit.journal.volume | 94 | en_US |
| mit.journal.issue | 2 | en_US |
| mit.license | PUBLISHER_CC | |