The Non-Uniform Fast Fourier Transform (NUFFT) appears a lot in MRI when designing non-Cartesian acquisition trajectories.

In order to design differentiable physics-based models, it is important to have a differentiable efficient implementation of the NUFFT.

This project is an offspring of the excellent work done by Matthew Muckley in PyTorch; torchkbnufft.

I was also happy to collaborate with Chaithya G R on this project, in particular receiving his help on density compensation and gradients with respect to the trajectory.

Zaccharie Ramzi
Zaccharie Ramzi
AI Research Scientist

I am an AI Research Scientist working on neural interfaces with Alex Gramfort. I was a Postdoc Researcher working with Gabriel Peyré. I did my PhD under the supervision of Philippe Ciuciu and Jean-Luc Starck at NeuroSpin, Inria - Parietal and Cosmostat.