Image registration with variable transformations (elastic, diffeomorphic, diffeomorphisms, unbiased) and similarity metrics (landmarks, cross-correlation, mutual information, etc). Image segmentation with priors & nonparametric, multivariate models.
*** Current ANTs code and support is hosted at Github ***
The best way to get ANTs is to compile from source. Build instructions are here
https://github.com/ANTsX/ANTs/wiki/Compiling-ANTs-on-Linux-and-Mac-OS
Binaries (updated infrequently) available here:
https://github.com/stnava/ANTs/releases
Older code and binaries remain available here on SourceForge (1.9x). If you are new to ANTs you should probably go to Github and get the latest code.
Features
- Image Registration
- EM Segmentation
- N4 Bias correction
- Cortical thickness
- 4D transforms
License
BSD LicenseFollow Advanced Normalization Tools ( ANTs )
You Might Also Like
Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
Rate This Project
Login To Rate This Project
User Reviews
-
I think the only reason those tools are so popular is because there is no other alternative. The documentation is fragmentary and very incomplete, the source code is a complete disaster - functions with over 1000 lines of code each are not a rarity. The only way you can use it is through console tools. Forget about API (even though it's written in C++) because they would have to rewrite the whole thing. The console tools are slow and very bugged. This is not something you could use in a professional environment - at best it's something you could use for some experiments to write a paper, but even then it's a shame there are no better alternatives.Reply from Advanced Normalization Tools ( ANTs )
-
Great tool!
-
Amazing advancement for neuroimaging processing!
-
deformation fields at a sub-voxel resolution...
-
Advants is great! Thanks.