QSM Tools
List of open-source quantitative susceptibility mapping (QSM) MRI software packages and data.
Please open an issue or pull request if you believe any corrections or additions to the list should be made.
Tools
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Details
- Language: MATLAB
- License: Academic-only, signup required
- Methods:
- Morphology Enabled Dipole Inversion (MEDI)
- Truncated singular value decomposition (TSVD)
- Truncated k-space division (TKD)
- Iterative SWIM (iSWIM)
- TV with Split-Bregmann (TVSB)
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Details
- Language: MATLAB
- License: MIT
- Methods:
- Total variation dipole inversion
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Berkin Bilgic's QSM software collection
Details
- Language: MATLAB
- License: Unknown
- Methods:
- Single-Step QSM with Total Generalized Variation regularization
- Fast Total Generalized Variation regularized QSM
- Reconstruction for Multi-orientation QSM and Susceptibility Tensor Imaging
- Single-Step QSM with l2-Regularization
- Fast l1-Regularized QSM with Magnitude Weighting and SHARP background filtering
- Closed-form l2-Regularized QSM
- l1- and l2-Regularized QSM and PDF background filtering
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Details
- Language: Python
- License: Unknown
- Methods:
- Total generalized variation
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Details
- Language: Docker and Singularity image bundles.
- Core QSM tools written in Python
- License: Unkown
- Methods:
- Total generalized variation
- Language: Docker and Singularity image bundles.
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Susceptibility Imaging Toolkit
Details
- Language: Pyton
- License: Unknown
- Methods:
- QSM inversion
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Details
- Language: MATLAB
- License: Non-commercial academic use only, email signup required
- Methods:
- Quantitative Susceptibility Mapping without spatial constraints
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Quantitative Susceptibility Mapping for MRI part 1
Details
- Language: MATLAB
- License: MIT
- Methods:
- Closed-form l2-Regularized QSM (Bilgic et al.)
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Quantitative Susceptibility Mapping for MRI part 2
Details
- Language: MATLAB
- License: MIT
- Methods:
- L1-regularized magnitude weighted QSM (Bilgic et al.)
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Details
- Language: MATLAB
- License: Unknown
- Methods:
- Single step total variation
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Details
- Language: Python
- License: Unknown
- Methods:
- Dipole inversion
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QSM L0 reconstruction algorithm
Details
- Language: MATLAB
- License: Unkown
- Methods:
- L0 reconstruction
Data
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QSM reconstruction challenge 2016
Details
- Field strength: 3.0 Tesla
- Resolution: 1.06 mm
- Subject: Healthy volunteer
- Other:
- A reference susceptibility map computed using the susceptibility tensor imaging algorithm on data acquired at 12 head orientations.
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Details
- Human Brain Single Echo 2D
- Field strength: 3.0 Tesla
- Resolution: 1.8 x 1.8 x 3.0 mm3
- Subject: Human
- Human Brain Single Echo 3D
- Field strength: 3.0 Tesla
- Resolution: 1.25 x 1.25 x 2.0 mm3
- Subject: Human
- Human Brain Multi Echo 3D
- Field strength: 3.0 Tesla
- Resolution: 1.25 x 1.25 x 2.0 mm3
- Subject: Human
- Mouse Brain 3D
- Field strength: 9.4 Tesla
- Resolution: 1.0 x 1.0 x 2.0 um3
- Subject: Human
- Human Brain Single Echo 2D
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Details
- Field strength: Unkown
- Resolution: 0.9375 x 0.9375 x 2.0 mm3
- Subject: Human and simulation
- Other:
- Siemens and GE datasets
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Quantitative Susceptibility Mapping (QSM): Decoding MRI Data for a Tissue Magnetic Biomarker
Details
- Field strength: Unkown
- Resolution: 0.9375 x 0.93785 x 1.0 mm3
- Subject: Human and simulation
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Susceptibility Imaging Toolkit
Details
- Field strength: Unknown
- Resolution: Unknown
- Subject: Human
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