MRI simulation using FORECAST: Fourier-based Off-REsonanCe Artifact simulation in the STeady-state
FORECAST is a fast alternative to Bloch simulation for simulating off-resonance effects in steady-state MRI. FORECAST accelerates simulation of steady-state pulse sequences by using multiple Fast Fourier Transforms to evaluate the signal equation, which can currently include proton density, T2, and off-resonance effects. Currently the simulation is limited to Cartesian pulse sequences, but we plan to add support for non-Cartesian pulse sequences.
Included examples:
- Simulation of susceptibility artifacts around air and metal.
- Simulation of water-fat shift (i.e. chemical shift).
- Simulation of a brainweb dataset, including T1, T2, susceptibility, and water-fat shift (Matlab R2015A or later required to automatically download the dataset)
If you use FORECAST in your research, please include a reference to our MRM paper and a link to the most recent code:
F. Zijlstra, J.G. Bouwman, I. Braskute, M.A. Viergever, and P.R. Seevinck, "Fast Fourier-based simulation of off-resonance artifacts in steady-state gradient echo MRI applied to metal object localization", Magn. Reson. Med., 2016
인용 양식
Frank Zijlstra (2024). MRI simulation using FORECAST: Fourier-based Off-REsonanCe Artifact simulation in the STeady-state (https://www.mathworks.com/matlabcentral/fileexchange/56680-mri-simulation-using-forecast-fourier-based-off-resonance-artifact-simulation-in-the-steady-state), MATLAB Central File Exchange. 검색됨 .
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- Sciences > Physics > Particle & Nuclear Physics >
- Engineering > Biomedical Engineering > Biomedical Imaging >
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버전 | 게시됨 | 릴리스 정보 | |
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1.05 | - Included support for spin echo sequences
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1.4.0.0 | Removed dependencies on the Image Processing Toolbox |
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1.3.0.0 | Fixed a bug in the brainweb example that caused it to not use the T2 values |
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1.2.0.0 | Fixed a small bug in calculateCartesianSamplingTimes. |
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1.1.0.0 | Removed extra directory from zip file, small change in brainweb demo, and updated description. |
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1.0.0.0 |