Mri Reconstruction Python Packages

torchsim

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

blochsim

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

monai-generative

MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications

fastmri

A large-scale dataset of both raw MRI measurements and clinical MRI images.

pysap-mri

MRI external plugin for Python Sparse data Analysis Package

bartorch-cuda13

Python wrappers for external BART computational imaging tools and internal libraries

ingress2qsirecon

A tool for ingressing outputs from other processing pipelines (e.g., HCP, UKB) for use in QSIRecon.

bartorch-cuda12

Python wrappers for external BART computational imaging tools and internal libraries

direct-recon

Deep learning framework for MRI reconstruction

blochsim-cuda12

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

spectramr

Multi-paradigm PyTorch framework for MRI reconstruction and generative modelling: GAN, diffusion, VAE, flow, Mamba/SSM and physics-driven paradigms behind one audited, frozen-config training interface.

pybicpl

Python interface for basic MNI .obj file format. Supports read, write, and calculations on a vertex neighbor graph.

mridatapy

A lightweight toolbox for downloading and processing mridata from mridata.org

blochsim-cuda13

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

frd-score

Official implementation of the Fréchet Radiomic Distance

mrtwin

Collection of virtual objects for numerical MR experiments.

mridc

Data Consistency Toolbox for Magnetic Resonance Imaging

deepmri

A deep learning toolbox for parallel MRI reconstruction