Data for evaluation of fast kurtosis imaging, b-value optimization and exploration of diffusion MRI contrast

dc.contributor.authorHansen, Brian
dc.contributor.authorJespersen, Sune Nørhøj
dc.date.accessioned2017-04-17T17:42:10Z
dc.date.available2017-04-17T17:42:10Z
dc.date.issued2017-04-17
dc.description.abstractData was acquired in one normal volunteer using a Siemens Trio 3 T equipped with a 32 channel head coil and a double spin echo DW EPI sequence. Motion of the subject's head during acquisition was avoided by padding inside the coil. DWI data was recorded at b=0 ms μm−2, and along 33 directions at b-values from 0.2–3 ms  μm−2 in steps of 0.2 ms  μm−2. The encoding scheme was constructed as a combination of a 24 point spherical design and the nine directions identified for rapid kurtosis estimation in ref. 22. CSF suppression (inversion recovery) was employed. Imaging parameters were TR=7200 ms, TE=116 ms, TI=2100 ms, 19 consecutive slices were acquired at isotropic resolution of 2.5 mm, matrix size 96×96, phase encoding direction A.-P. SNR~39 at b=0 evaluated using the mean signal across all tissue types. Data were converted from the original dicom files using dcm2niix. Anatomical data is also provided. This data consists of a 1 mm isotropic T1 weighted 3D MPRAGE acquired in the sagittal orientation, matrix size 256 × 256 × 176. Scan parameters were: TE=3.7 ms, TR=2430 ms, Inversion time (TI)=960 ms, Flip angle=9°, 2 averages.en_US
dc.identifier.citationData for evaluation of fast kurtosis strategies, b-value optimization and exploration of diffusion MRI contrast, Scientific Data 3, Article number: 160072 (2016)en_US
dc.identifier.urihttp://hdl.handle.net/1773/38488
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.subjectHumanen_US
dc.subjectBrainen_US
dc.subjectMRIen_US
dc.subjectDiffusion MRIen_US
dc.subjectAnatomical MRIen_US
dc.titleData for evaluation of fast kurtosis imaging, b-value optimization and exploration of diffusion MRI contrasten_US
dc.typeDataseten_US

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