https://github.com/datalad/example-dicom-functional
Example DICOM dataset for a BOLD fMRI acquisition
Science Score: 10.0%
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Low similarity (9.2%) to scientific vocabulary
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Example DICOM dataset for a BOLD fMRI acquisition
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Created about 8 years ago
· Last pushed about 8 years ago
https://github.com/datalad/example-dicom-functional/blob/master/
# Example DICOM dataset of a functional BOLD fMRI scan
These data can be useful for tests and demos. Enjoy!
Information on stimulus type and timing are available in the `events.tsv` file
in [BIDS format](http://bids.neuroimaging.io/).
This dataset is a minimal excerpt of one aspect of the studyforrest extension
dataset published in:
Sengupta, A., Kaule, F. R., Guntupalli, J. S., Hoffmann, M. B., Husler, C.,
Stadler, J. & Hanke, M. (2016). A studyforrest extension, retinotopic mapping
and localization of higher visual areas. Scientific Data, 3:160093.
http://www.nature.com/articles/sdata201693
## Flavors
Three sizes of this dataset are provided in three branches to cater to
different use cases
- **master**
A full single run of a block design visual localizer experiment with
six images categories, where each category appeared in two blocks.
156 volumes.
- **half**
Only the first half of the experiment run -- still with all six
image categories, but only one block for each category. This variant
can be processed quicker, but may be less useful for demoing a real
analysis. 78 volumes.
- **1block**
Even shorter than **half**, covering the first stimulation block include
pre- and post-stimulation rest phase only. 18 volume.
This is mostly useful for technical validation.
## Anonymization
DICOM header were anonymized, and certain field values have been reset using
the following command
gdcmanon --dumb --remove 400,500 --remove 12,62 --remove 12,63 \
--replace 0008,103E,func_task-oneback_run-1 \
--replace 0018,1030,func_task-oneback_run-1 \
--replace 0008,1030,Hanke_Stadler^0083_transrep2 \
--replace 0010,0010,Jane_Doe \
--replace 0010,0020,02 \
--replace 0010,0040,F \
--replace 0010,1010,42 \
--replace 0010,1030,75 \
--replace 0010,0030,19660101 \
-i ... -o ...
## Acknowledgements
This work was supported by the German Federal Ministry of Education and
Research (BMBF 01GQ11112), the German federal state of Saxony-Anhalt and the
European Regional Development Fund (ERDF), Project: Center for Behavioral Brain
Sciences, Imaging Platform.
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