| Description: | Multiband diffusion brain images - NIFTI |
| Category: | Assessment centre ⏵ Imaging ⏵ Brain MRI ⏵ UKB brain imaging pipeline ⏵ Diffusion brain MRI |
| Brain MRI scans + XNAT image package + Brain MRI |
| Participants | 65,156 | Value Type | Text | Sexed | Both sexes | Debut | Oct 2015 | |||
| Item count | 70,278 | Item Type | Bulk | Instances | Defined (2) | Version | Oct 2023 | |||
| Stability | Accruing | Strata | Derived | Array | No | Cost Tier | 2 |
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The values held within this field are coded links to files held within a bulk repository, not the actual data itself.
Instance 3 : First repeat imaging visit (2019+)
5,197 participants, 5,197 items
Data not meaningful for statistical summary
The source DICOM images were acquired using the following parameters:
Resolution: 2x2x2 mm
Field-of-view: 104x104x72 matrix
Duration: 7 minutes (including 36 seconds phase-encoding reversed data)
10x b=0, 50x b=1000, 50x b=2000
SE-EPI with x3 multislice acceleration, no iPAT, fat saturation
For the two diffusion-weighted shells, 50 distinct diffusion-encoding directions were acquired (and all 100 directions are distinct). The diffusion prepraration is a standard ("monopolar") Stejskal-Tanner pulse sequence. This enables higher SNR due to a shorter echo time (TE=92ms) than than a twice-refocused ("bipolar") sequence. This improvement comes at the expense of stronger eddy current distortions, which are removed in the image processing pipeline.
The average size of these NIFTI datasets is 550MB per participant.
| Field ID | Description | Relationship |
|---|---|---|
| 20218 | Multiband diffusion brain images - DICOM | Current Field is derived from Field 20218 |
| 20221 | T2/PD brain images - DICOM | Current Field can be used as a partial surrogate for Field 20221 |
| Preview | Name | Res ID |
|---|---|---|
 | Example multiband diffusion brain images in NIFTI format | 20250 |
 | Mapping of FMRIB brain pipeline headers to UKB fields | 2006 |
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