These data can be useful for tests and demos. Enjoy!
This dataset is a minimal excerpt of one aspect of the studyforrest dataset published in:
Hanke, M., Baumgartner, F. J., Ibe, P., Kaule, F. R., Pollmann, S.,
Speck, O., Zinke, W. & Stadler, J. (2014). A high-resolution
7-Tesla fMRI dataset from complex natural stimulation with an audio
movie. Scientific Data, 1:140003.
http://www.nature.com/articles/sdata20143
This DICOM dataset has been created via nifti2dicom from a de-faced NIfTI file. DICOM header fields have been set from the original DICOM files the NIfTI image was created from. Subsequently, 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 0010,0010,Jane_Doe \
--replace 0010,0020,02 \
--replace 0008,1030,Hanke_Stadler^0024_transrep \
--replace 0008,103E,anat-T1w \
--replace 0018,1030,anat-T1w \
--replace 0010,0040,F \
--replace 0010,1010,42 \
--replace 0010,1030,75 \
--replace 0010,0030,19660101 \
--replace 0020,0010,433724515 \
--replace 0008,0022,20130717 \
--replace 0008,0023,20130717 \
--replace 0008,0033,142035.93 \
-i ... -o ...
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.