Developers and Questions

Brought to you by the developers at the Penn Image Computing and Science Lab:
Brian Avants Sandhitsu Das
Jeff Duda John Pluta
Gang Song Nick Tustison
**ANTS is looking for developers! Contact us for more information.**

Supported by the National Institute of Biomedical Imaging and Bioengineering (R01-EB006266-01) and administered through the UCLA Center for Computation Biology.

Introduction and Overview

The ANTS package is designed to enable researchers with advanced tools for brain and image mapping. Many of the ANTS registration tools are diffeomorphic*, but deformation (elastic and BSpline) transformations are available. Unique components of ANTS include multivariate similarity metrics, landmark guidance, the ability to use label images to guide the mapping and both greedy and space-time optimal implementations of diffeomorphisms. The symmetric normalization (SyN) strategy is a part of the ANTS toolkit as is directly manipulated free form deformation (DMFFD).

*Diffeomorphism: a differentiable map with differentiable inverse. In general, these maps are generated by integrating a time-dependent velocity field.

ANTS Applications

ANTS tools are widely applied. See the Practical Guide to ANTS for details:

Tutorials and examples are available within ANTS and through links at the top of the page.

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