ASHS Documentation

What's new in 2026? HyperASHS!

Exciting news! An all-new version of ASHS is available. It does so much more than the original: it produces isotropic-resolution segmentations, it's Python-based, and the atlases between T1-only and T2/T1 versions are better harmonized. We're working on complete documentation, but for now, you can get started here:

• https://github.com/pyushkevich/HyperResASHS/blob/main/README.md

What is ASHS?

ASHS is software for automatic segmentation of the medial temporal lobe (MTL) substructures from brain MRI scans. These structures are involved in early Alzheimer's disease and in a number of other neurological conditions. They are also important in research on memory and cognition.

• Automatically labels hippocampal subfields in T2-weighted MRI or anterior/posterior hippocampus in T1-weighted MRI. 

• Automatically labels subregions of the medial temporal lobe cortex, including entorhinal cortex, perirhinal cortex and parahippocampal cortex, in both T1-weighted and T2-weighted MRI scans.

• Leverages advanced label fusion approaches for multi-atlas segmentation

• Can be easily retrained to use your own segmentation protocol

• Free, open-source software

• New in 2017: run ASHS on any computer!

About Us

ASHS is developed by members of the Penn Image Computing and Science Laboratory (PICSL) at the Department of Radiology at the University of Pennsylvania. Please see the References page for authorship information.

Funding

Research reported on this website was supported by the National Institutes of Health under award numbers R01-AG056014, R01-AG037376, and R01-EB017255. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.