Automatic brain tissue segmentations mostly rely on T1 weighted images (T1w) which provide an excellent grey matter – to -white matter contrast but T1w lacks sufficient contrast for major subcortical nuclei. Particularly in non-human primates, these segmentation approaches encounter their limits. By merging T1w with Quantitative Susceptibility Mapping, a unique brain tissue contrast could be generated. TQ-SILiCON maps allowed for an improved subcortical nuclei classification while retaining the excellent white matter delineation of T1w. The approach works equally well for humans and non-human primates.