Freeview is a powerful viewer that works well with both volume and surface data. It (currently) has several quirks worth noting, such as:
- All surfaces should be loaded before volumes (otherwise their orientation will be incorrect).
- Loading surface metric data can be difficult, see the examples below.
- Crashes can still occur occasionally, especially when trying to load surfaces or surface overlay data with the incorrect buttons.
freeview
in the command line.hippunfold/sub-01/surf/sub-02_hemi-L_space-T1w_den-0p5mm_label-hipp_midthickness.surf.gii
).hippunfold/sub-01/anat/sub-02_desc-preproc_T1w.nii.gz
).hippunfold/sub-01/surf/sub-02_hemi-L_space-T1w_den-0p5mm_label-hipp_gyrification.shape.gii
)..label.gii
files) can be loaded similarly to metric data, but using the Annotation button on the left panel instead of Overlay.hippunfold/sub-01/anat/sub-01_hemi-L_space-cropT1w_desc-subfield_dseg.nii.gz
). On the left panel, set Colormap > Lookup Table and then Select Lookup Table > Load Lookup Table > Navigate to YOUR_HIPPUNFOLD_INSTALLATION_DIRECTORY/hippunfold/resources/desc-subfields_freeview_desg.tsv
. label-dentate
), unfolded surfaces (space-unfolded
), or other overlay data (eg. thickness
).label-hipp
and den-'0p5mm'), and note that folded and unfolded surfaces will appear far apart in the 3D viewer and so you may need to zoom out quite far to navigate to them.space-T1w
) surface can also be viewed on an unfolded surface that has the same number of vertices.hippunfold/sub-01/coords/sub-01_dir-AP_hemi-L_space-cropT1w_label-hipp_desc-laplace_coords.nii.gz
) over your T1w image, then set the minimum windowing to 0.001 and tick the box Clear background
in the left panel to maintain visibility of the T1w underlay.space-T1w
and space-cropT1w
should appear in equivalent positions in Freeview, despite having a different field of view and resolution. If loading these data into Matlab or Python, you will need to first resample these images to the same reference image in order to index voxels from equivalent points. The HippUnfold Toolbox provides examples and functions for mapping data onto hippocampal surfaces, plotting surfaces, and performing comparisons or statistical tests between subjects. Note that this can be done in other programs, like Connectome workbench, but these Python & Matlab tools should give an idea of how this can be done in a fully customizable fashion.
ITK-SNAP is a lightweight tool able to quickly open volumes, and is ideal for manual segmentation or edits. Segmentation images (_dseg.nii.gz
) can be loaded as overlays and ITK-SNAP will create a 3D rendering of the contours of each label. Use the space-cropT1w
or space-cropT2w
images in the anat/
folder to visualize one hemisphere at a time.
Connectome Workbench view tool allows for advanced visualization of surfaces and surface data. Loading one of the .spec
files produced by HippUnfold into wb_view
will allow you to visualize the hippocampus in native and unfolded configurations, and also overlay metric and label data (e.g. subfields and thickness).