zelenkastiot / mri-materials

Docker file for MRI online course (Julia + Python)

mri-materials

🐳 Docker image

• Julia (1.4.1)
  • FFTW, PyPlot, HDF5, LsqFit, GZip
• Python (3.7)
  • SoS(py3+julia), scipy , plotly

📕 Course chapters

1: Sensitivity encoded MRI reconstruction

• Preview: https://nbviewer.jupyter.org/github/nankueichen/education_SENSE_MRI/blob/main/main.ipynb
• Complete files: https://github.com/nankueichen/education_SENSE_MRI

2: Magnitude and phase data processing for multi-TE gradient-echo MRI

• Preview: https://nbviewer.jupyter.org/github/nankueichen/multi_TE_MRI/blob/main/main.ipynb
• Complete files: https://github.com/nankueichen/multi_TE_MRI

3: DTI data processing

• Preview: https://nbviewer.jupyter.org/github/nankueichen/education_DTI_processing/blob/main/main.ipynb
• Complete files: https://github.com/nankueichen/education_DTI_processing

4: RF pulse design:

• Preview: https://nbviewer.jupyter.org/github/sequintoa/BME639-RF/blob/master/Lab/RFPulse.ipynb
• Complete files: https://github.com/sequintoa/BME639-RF/tree/master/Lab

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☁️ Run on the cloud

You can use Live Code or Launch in Binder buttons at the top of each page of the Jupyter Book.

Alternatively, you can start a Binder session by clicking the badge below: