DlQSM
List of deep learning-based quantitative susceptibility mapping (QSM) with source code and data
Install / Use
/learn @dlQSM/DlQSMREADME
Deep learning-based QSM
List of deep learning-based quantitative susceptibility mapping (QSM) projects with source code and data where available
Background field correction
- SHARQnet </br> <details><summary>Details</summary> <p> - Language: Python (Tensorflow) <br/> - Method: Background field correction <br/> - Code: not yet publicly available, but available on request: steffen.bollmann@cai.uq.edu.au <br> - Reference: http://www.sciencedirect.com/science/article/pii/S0939388918301673 <br/> </p> </details>
Dipole Inversion
-
xQSM </br> <details><summary>Details</summary>
<p> - Language: MATLAB & Python (Pytorch) <br/> - Method: Dipole inversion <br/> - Code: https://github.com/sunhongfu/deepMRI/tree/master/xQSM <br/> - Reference: https://arxiv.org/abs/2004.06281 <br> </p> </details> -
Deepqsm </br> <details><summary>Details</summary>
<p> - Language: Python (Tensorflow) <br/> - Method: Dipole inversion <br/> - Code: https://colab.research.google.com/github/brainhack101/IntroDL/blob/master/notebooks/2019/Bollman/Steffen_Bollman_Deep_learning_QSM_tutorial_OHBM.ipynb <br> - Tutorial: https://www.pathlms.com/ohbm/courses/12238/sections/15846/video_presentations/137444 (start: 1:16:56) - Reference: https://doi.org/10.1016/j.neuroimage.2019.03.060 <br/> </p> </details> -
QSMnet+ </br> <details><summary>Details</summary>
<p> - Language: Python (Tensorflow) <br/> - Method: Dipole inversion <br/> - Code: https://github.com/SNU-LIST/QSMnet <br/> - Reference: https://doi.org/10.1016/j.neuroimage.2018.06.030 <br>       https://arxiv.org/abs/1909.07716 </p> </details> -
VaNDI </br> <details><summary>Details</summary>
<p> - Language: Python (Tensorflow) <br/> - Method: Dipole inversion <br/> - Code: https://www.dropbox.com/s/ubabfhwfpjphpo1/NDI_Toolbox.zip?dl=0 <br/> - Reference: http://arxiv.org/abs/1909.13692 <br/> </p> </details>
Phase to QSM
- autoQSM </br> <details><summary>Details</summary> <p> - Language: Python <br/> - Method: Background field correction + Dipole inversion <br/> - Code: not yet available <br/> - Reference: http://www.sciencedirect.com/science/article/pii/S1053811919306469 <br/> </p> </details>
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