bart-webinars/webinar1 at master · mblum94/bart-webinars

Name		Name	Last commit message	Last commit date
parent directory ..
data		data
Backend_Libraries_in_Bart.pdf		Backend_Libraries_in_Bart.pdf
README.md		README.md
cli_python_matlab_intro.ipynb		cli_python_matlab_intro.ipynb
day1_advanced_recon.ipynb		day1_advanced_recon.ipynb
day2_add_cmdline_parameter.ipynb		day2_add_cmdline_parameter.ipynb
day2_build_new_tool.ipynb		day2_build_new_tool.ipynb
plot_traj.py		plot_traj.py
webinar-preprocessing.ipynb		webinar-preprocessing.ipynb

README.md

Webinar Recordings: Click here

Introduction [Recording]
Part 1:
- [Recording] Where to find docs, examples, and help (links: Website + README + Documentation + Tutorials + Mailing List)
- Discussion of file format and dimensions (links: README: Data Format + Documentation: Dimensions + Source Code: Predefined Dimensions)
Part 2:
- [Recording] Working with CLI tools and Matlab/Python wrappers Jupyter Notebook
- [Recording] Data preprocessing Jupyter Notebook
Part 3:
- [Recording] Compressed Sensing and non-Cartesian MRI reconstruction Jupyter Notebook
- [Recording] GRASP-like MRI reconstruction (same Jupyter Notebook as above)
[Recording] Q&A and Conclusion

[Recording] Introduction
[Recording] Part 1: Intro to the C-programming library Slides
[Recording] Part 2: Set up a build environment, compile, and run (links: README + Documentation: Building + Documentation: Debugging)
[Recording] Part 3: Add command-line paramter to existing tool Jupyter Notebook
[Recording] Part 4: Build a basic tool and system test Jupyter Notebook
[Recording] Q&A and Conclusion

This work is supported by NIH Grant U24EB029240-01