DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
A Python package to visualise neuroanatomical data in atlas space
A browser-based 3D atlas of clinical neuroanatomy in MNI152 space: 592 meshes with synchronised MRI slices, arterial territories, traced pathways, a syndrome and lesion mode, clinical topics, a glossary and a quiz. Every entry cites open-access sources. English and Turkish.