deepMRI: Deep learning methods for MRI

Authors: Yang Gao, Zhuang Xiong, Hongfu Sun

• This repo is devloped based on Pytorch (1.8 or later) and matlab (R2019a or later).

• The codes in this repo were tested on Centos 7.8 with Nvdia Tesla V100 and macos12.0.1/win10/ubuntu19.10 with GTX 1060

Major Update, 31st, Jan, 2023: Delete old-version iQSM checkpoints. Will upload latest codes and checkpoints shortly.

     

Projects

iQSM+ for orientation-adaptive single-step QSM reconstruction

iQSM for single-step instant QSM

DCRNet for QSM and R2* acceleration

xQSM for QSM dipole inversion

BFRnet for QSM background field removal

     

iQSM+ for orientation-adaptive single-step QSM reconstruction

Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enabled deep neural networks

source code (github)   |   arXiv (pre-print)   |   MIA (full paper)

iQSM for single-step instant QSM

Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enabled deep neural networks

source code (github)   |   data & checkpoints (dropbox)   |   arXiv (pre-print)   |   NeuroImage (full paper)

     

DCRNet for QSM and R2* acceleration

Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction

source code (github)   |   data & checkpoints (dropbox)   |   arXiv (pre-print)   |   NeuroImage (full paper)

     

xQSM for QSM dipole inversion

xQSM: quantitative susceptibility mapping with octave convolutional and noise-regularized neural networks

source code (github)   |   data & checkpoints (dropbox)   |   arXiv (pre-print)   |   NMR in Biomed (full paper)

     

BFRnet for QSM background field removal

BFRnet: A deep learning-based MR background field removal method for QSM of the brain containing significant pathological susceptibility sources

source code (github)   |   data & checkpoints (dropbox)   |   arXiv (pre-print)   |  

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