Thanks for sharing the data. It is easy to load these images once you know the image geometry (pixel start position and x y z size and spacing) just by creating a .nhdr header file for it. The geometry values can be determined by trial and error. One of the projects for the Slicer project week (that starts tomorrow) will be about automating this process - your data sets will be perfect test data for this.
For example, you can load one of your data sets by creating a “DAN 1_0000.nhdr” file in the same folder with the content below and then loading the .nhdr file into Slicer:
# Complete NRRD file format specification at:
type: unsigned char
sizes: 376 124 158
space directions: (-0.30,0,0) (0,-0.60,0) (0,0,0.90)
kinds: domain domain domain
space origin: (0,0,0)
byte skip: 620919
data file: DAN 1_0000.mvl
After applying masking (to remove some reflections that would occlude the face), casting to double, and applying anisotropic filtering, you get this volume rendering result:
Here is the link to the complete Slicer scene of the imported and processed image.