This project, initially developed at University College London, contains programs to perform rigid, affine and non-linear registration of nifti or analyse images. Two versions of the algorithms are included, a CPU- and a GPU- (using CUDA) based implementation.

Project Samples

Project Activity

See All Activity >

License

BSD License

Follow Nifty Reg

Nifty Reg Web Site

You Might Also Like
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free
Rate This Project
Login To Rate This Project

User Ratings

★★★★★
★★★★
★★★
★★
4
0
0
0
0
ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 3 / 5
features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 5 / 5
design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 5 / 5
support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 2 / 5

User Reviews

  • First time to come across Nifty, very useful!
  • I just installed Nifry Reg. I am newbie guys. Could you please me tell me how to run it? I am using windows 7 and I tried to run it from the command prompt windows but it did not work. Thank you.
  • Very fast registration due to the CUDA implementation.
  • This is an excellent open-source and light-weight registration package. Thank-you!
Read more reviews >

Additional Project Details

Operating Systems

Linux, Mac, Windows

Intended Audience

Healthcare Industry

User Interface

Console/Terminal

Programming Language

C, C++

Related Categories

C++ Bio-Informatics Software, C++ Medical Software, C Bio-Informatics Software, C Medical Software

Registered

2009-09-18