While for data inspection the screen resolution (e.g. 1mm equals one pixel for the 3-slices view) is sufficient, paper-based publication (articles, posters, etc.) usually require much higher resolution images (e.g. at least 150 dpi, which means that for those pictures, a super-sampling of at least factor 6 is required to get 25.4 * 6 = 152.4 pixels into one inch!).
As the main UI does not allow that kind of high-resolution zoom, a different UI is available for this task.
The image montage UI is available via the Visualization → Create montage images menu item and looks like this:
This dialog has the following controls and properties:
min:step:max
, flipped: max:-step:min
)imwrite
, different formats supported)This is a typical usage example. Make sure to configure the statistical map(s) with the correct threshold (stat, k), colors, etc!
MNI brain
, which then sets3
sets the layout default option to 6 x 9
Show in figure
Display during slicing
optionCreate montage…
The output then looks like this (for a random covariate thresholded with r >= 0.275)
And a zoomed snippet (using Matlab's internal zoom/lens button) reveals the sub-millimeter resolution and the shaded transparency of the border: