7T 3D-EPI PCASL with High SNR Efficiency and Robustness to Through-Plane B0 Field Gradients

Description Here we share the main data reported in the following paper: 7T 3D-EPI PCASL with High SNR Efficiency and Robustness to Through-Plane B0 Field Gradients. Gael Saib, Alan P. Koretsky and S. Lalith Talagala. Magnetic Resonance in Medicine (2026): https://doi.org/10.1002/mrm.70491. Below we provide a brief description of the data. A detailed description of the data can be found in the paper cited above. If you have any questions about the data, please reach out to Gael Saib at [e-mail]. This dataset contains 7 Tesla human brain MRI data from 21 subjects acquired as part of two PCASL optimization studies. Subjects sub-01 to sub-09 correspond to the labeling-duration experiment, whereas subjects sub-10 to sub-21 correspond to the mean-gradient experiment. The dataset includes MP2RAGE anatomical images, 3D-EPI PCASL acquisitions, and associated processed datasets. ------------------------------------------------Labeling Duration experiment-------------------------------------------- Dataset Organization sub-XX/ anat/ sub-XX_UNIT1.nii perf/ sub-XX_acq-LD500_asl.nii sub-XX_acq-LD1000_asl.nii sub-XX_acq-LD1500_asl.nii sub-XX_acq-LD2000_asl.nii sub-XX_acq-LD2500_asl.nii sub-XX_acq-LD3000_asl.nii sub-XX_acq-LD3500_asl.nii sub-XX_acq-LD4000_asl.nii derivatives/ perfusion/ segmentation/ Each subject folder is organized as follows: Anatomical Data anat/ sub-XX_UNIT1.nii Brain-extracted MP2RAGE UNI image used as the anatomical reference for registration and tissue segmentation. Perfusion Data perf/ Contains the PCASL acquisitions acquired with different labeling durations. Files follow the naming convention: sub-XX_acq-LDXXXX_asl.nii where LDXXXX indicates the labeling duration in milliseconds. Acquisition label -> Labeling duration (s) LD500 -> 0.5 LD1000 -> 1.0 LD1500 -> 1.5 LD2000 -> 2.0 LD2500 -> 2.5 LD3000 -> 3.0 LD3500 -> 3.5 LD4000 -> 4.0 Each ASL file contains one M0 image followed by alternating control and label images. Derivatives derivatives/perfusion/ Contains mean control-label difference image normalized by M0 derived from the corresponding ASL acquisition. Files follow the naming convention: sub-XX_acq-LDXXXX_ndiff.nii These images were used for perfusion quantification and analysis. derivatives/segmentation/ Contains tissue segmentation maps registered to perfusion image space. Files follow the naming convention: sub-XX_acq-LDXXXX_FAST_seg_in_perf.nii.gz These segmentation maps were generated using FSL FAST and transformed into the corresponding perfusion image space. They provide gray matter, white matter, and cerebrospinal fluid tissue classifications for quantitative analysis. ------------------------------------------------Mean Gradient experiment-------------------------------------------- Dataset Organization sub-XX/ anat/ sub-XX_UNIT1.nii perf/ sub-XX_acq-Gm08_asl.nii sub-XX_acq-Gm06_asl.nii sub-XX_acq-Gm04_asl.nii sub-XX_acq-Gm02_asl.nii sub-XX_acq-G0_asl.nii sub-XX_acq-Gp02_asl.nii sub-XX_acq-Gp04_asl.nii sub-XX_acq-Gp06_asl.nii sub-XX_acq-Gp08_asl.nii derivatives/ atlas/ fmap/ perfusion/ segmentation/ Each subject folder is organized as follows: Anatomical Data anat/ sub-XX_UNIT1.nii Brain-extracted MP2RAGE UNI image used for tissue segmentation, image registration, and anatomical reference. Perfusion Data perf/ Contains the PCASL perfusion images acquired under nine different mean through-plane gradient conditions. sub-XX_acq-GYY_asl.nii where GYY denotes the applied mean gradient condition: Acquisition label -> Mean gradient (mT/m) Gm08 -> −0.8 Gm06 -> −0.6 Gm04 -> −0.4 Gm02 -> −0.2 G0 -> 0.0 Gp02 -> +0.2 Gp04 -> +0.4 Gp06 -> +0.6 Gp08 -> +0.8 Each ASL file contains one M0 image followed by alternating control and label images. Derivatives derivatives/fmap/ Contains whole-brain B0 and flip-angle maps together with vessel masks extracted from TOF angiography. sub-XX_B0map.mat: Whole-brain B0 field map. sub-XX_FAmap.mat: Whole-brain flip-angle map. sub-XX_VesselMasks.mat: Feeding artery masks extracted from TOF angiography. sub-XX_MaskedB0_Vessels.mat: B0 values sampled within the vessel masks. sub-XX_MaskedFA_Vessels.mat: Flip-angle values sampled within the vessel masks. These data were used to characterize magnetic field and transmit field conditions along the feeding arteries supplying the labeling plane. derivatives/atlas/ Contains atlas arterial labels registered to the corresponding perfusion image space. Files follow the naming convention: sub-XX_acq-GYY_atlas_in_perf.nii.gz derivatives/segmentation/ Contains tissue segmentation maps generated using FSL FAST and registered to perfusion space. Files follow the naming convention: sub-XX_acq-GYY_FAST_seg_in_perf.nii.gz These files provide gray matter, white matter, and cerebrospinal fluid tissue classifications aligned with the perfusion images. derivatives/perfusion/ Contains mean control-label difference image normalized by M0 derived from the PCASL acquisitions. Files follow the naming convention: sub-XX_acq-GYY_ndiff.nii These images were used for quantitative perfusion analysis and estimation of perfusion-related metrics.