MRI reconstruction (e.g., QSM) using deep learning methods

Last update: Dec 18, 2022

Overview

deepMRI: Deep learning methods for MRI

Authors: Yang Gao, 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

Projects

xQSM for QSM dipole inversion

DCRnet for QSM and R2* acceleration

iQSM for single-step instant QSM

xQSM for QSM dipole inversion

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

source code (github) | arXiv (pre-print) | NMR in Biomed (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) | arXiv (pre-print) | NeuroImage (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) | arXiv (pre-print)

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MRI reconstruction (e.g., QSM) using deep learning methods

Related tags

Overview

deepMRI: Deep learning methods for MRI

Projects

xQSM for QSM dipole inversion

DCRNet for QSM and R2* acceleration

iQSM for single-step instant QSM

Owner

Hongfu Sun

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