Penn Image Computing and Science Laboratory
PICSL develops computational methods for extracting, analyzing and integrating clinically and scientifically meaningful information from biomedical images. Our work covers segmentation, registration, morphometry and shape analysis, with collaborations spanning many organ systems and imaging modalities. We also make these methods freely available as open-source software.
Highlights
Research
Imaging of neurodegenerative disease from in vivo MRI to postmortem MRI and histology, image registration, cardiac shape modeling, and AI for clinical imaging.
Image: tau tangle burden mapped into a 3D atlas of the medial temporal lobe, from Ravikumar et al., Nature Communications (2024), CC BY 4.0.
Software
ITK-SNAP, ANTs, FireANTs, Greedy, ASHS and other open-source tools for medical image analysis.
Image: mouse brain templates built with ANTs (left) and FireANTs (right), from Jena, Chaudhari & Gee, Nature Communications (2026), CC BY 4.0.