{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Cao T"],"funding":["NIBIB NIH HHS","NHLBI NIH HHS","NIAMS NIH HHS"],"pagination":["1375-1389"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8776611"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["87(3)"],"pubmed_abstract":["<h4>Purpose</h4>To develop a new technique that enables simultaneous quantification of whole-brain T<sub>1</sub> , T<sub>2</sub> , T2∗ , as well as susceptibility and synthesis of six contrast-weighted images in a single 9.1-minute scan.<h4>Methods</h4>The technique uses hybrid T<sub>2</sub> -prepared inversion-recovery pulse modules and multi-echo gradient-echo readouts to collect k-space data with various T1, T2, and T2∗ weightings. The underlying image is represented as a six-dimensional low-rank tensor consisting of three spatial dimensions and three temporal dimensions corresponding to T<sub>1</sub> recovery, T<sub>2</sub> decay, and multi-echo behaviors, respectively. Multiparametric maps were fitted from reconstructed image series. The proposed method was validated on phantoms and h"],"journal":["Magnetic resonance in medicine"],"pubmed_title":["Three-dimensional simultaneous brain mapping of T1, T2, T2∗ and magnetic susceptibility with MR Multitasking."],"pmcid":["PMC8776611"],"funding_grant_id":["R01 AR066517","R01 EB028146","R01 HL156818"],"pubmed_authors":["Christodoulou AG","Ma S","Xie Y","Fan Z","Hogg E","Li D","Wu C","Wang N","Tagliati M","Cao T","Gharabaghi S","Haacke EM","Han F"],"additional_accession":[]},"is_claimable":false,"name":"Three-dimensional simultaneous brain mapping of T1, T2, T2∗ and magnetic susceptibility with MR Multitasking.","description":"<h4>Purpose</h4>To develop a new technique that enables simultaneous quantification of whole-brain T<sub>1</sub> , T<sub>2</sub> , T2∗ , as well as susceptibility and synthesis of six contrast-weighted images in a single 9.1-minute scan.<h4>Methods</h4>The technique uses hybrid T<sub>2</sub> -prepared inversion-recovery pulse modules and multi-echo gradient-echo readouts to collect k-space data with various T1, T2, and T2∗ weightings. The underlying image is represented as a six-dimensional low-rank tensor consisting of three spatial dimensions and three temporal dimensions corresponding to T<sub>1</sub> recovery, T<sub>2</sub> decay, and multi-echo behaviors, respectively. Multiparametric maps were fitted from reconstructed image series. The proposed method was validated on phantoms and h","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Mar","modification":"2025-04-04T21:43:46.156Z","creation":"2025-04-04T21:43:46.156Z"},"accession":"S-EPMC8776611","cross_references":{"pubmed":["34708438"],"doi":["10.1002/mrm.29059"]}}