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.

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

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)

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)

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: 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: 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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