INFN-MRI

A feature-rich MR simulator supporting massive parallelization on GPU and automatic differentiation.

Python tools to read and write raw and image MR data in different formats.

MRI forward operator library.

A framework to accelerate the development of modern MR acquisition and reconstruction methods, focused on quantitative MRI.

A package for MR reconstruction via implicit representation of GRAPPA kernels.

Example dataset for demo and testing of mrbabel package.

A Python client for communication between Pulseq interpreter and Pulseq design server.

Collection of virtual objects for numerical MR experiments.

Sparse and Non-Uniform Fast Fourier Transform routines.

Python tools to write Pulseq files for GEHC scanners (i.e., TOPPE interpreter).