We are sharing a fast three-dimensional non-uniform fast Fourier transform (NUFFT) CUDA implementation with MATLAB mex interface and class-based generation of forward and adjoint operators. The library can be integrated with any MATLAB-based image reconstruction and will perform the NUFFTs on the GPU without additional code modifications.
gpuNUFFT – An Open Source GPU Library for 3D Regridding with Direct Matlab Interface
Proc Intl Soc Magn Reson Med. 22 (2014). p 4297.
Please cite this work if you are using gpuNUFFT in your research.
|2016-05||The library is now maintained on Github.|
In addition, gpuNUFFT is featured on the ISMRM MR-Hub, along with additional installation instructions, video tutorials, and an ISMRM review of the library.
|2015-08||Compute capabilities 1.x are no longer supported in CUDA 7.0. To use gpuNUFFT with CUDA 7.0, the CMakeLists file has to be adjusted by modifying the flags |
We will adress this issue more thoroughly in future releases.
|2.0.6||2014-09-15||A major update: |
All precomputations are done on the GPU;
Full support for multi coil data;
Support for arbitrary sector widths;
Effective support for anisotropic grid sizes.
|1.1||2014-05-28||Demo example now allows the use of atomic operations for increased speedup.|
|1.0||2014-05-05||First resease of gpuNUFFT.|
- Andreas Schwarzl (Graz University of Technology)
- Florian Knoll (NYU Grossman School of Medicine)
Questions about this resource may be directed to Florian Knoll, PhD.