BrainSlicer is a MATLAB-based visualization tool for volumetric brain data. Its main purpose is to produce publication-level figures.
BrainSlicer main functionalities include:
- possibility of overlaying multiple images with tunable opacity.
- thresholding and clusterization of each layer
- visualize colorbar for each desired layer
- handy visualization of p-value maps as (1-p)
- ~ 100 colormaps available (including FSL and brain colours maps)
BrainSlicer is composed of three main programs:
slicer.m- the main tool, visualizes and prints nifti images.slicerCollage.m- combines several images produced byslicer.min a single figure.colormaps.m- shows all the available colormaps and their code for ease of selection.
BrainSlicer requires:
- SPM
- MATLAB version >= R2014b
SlicerDemo.m demostrates the major functionalities of the toolbox using common usage examples.
- Figure showing a t-map and 1-p-map:
- Figure showing the 10 networks from Smith et al. 2009 (PNAS):
- Figure showing the 7 networks from Yeo et al. 2011 (J Neurophysiol) parcellated according to Schaefer et al 2018 (Cortex):
