BART: Webinars
Figure: Simulated MRI images.
Webinars
We are hosting a series of webinars for the BART project. The purpose of the webinars is to demonstrate specific components of the toolbox, starting from basic installation and use all the way through building new MRI reconstruction algorithms.
All recordings, code, and data for the webinars can be found here:
Webinar Recordings
Webinar Materials
Webinar #8
Date/Time: April 9, 2024 at 8:00 - 10:00 am US-PDT
Webinar #8 Materials
- Reconstructing 3D Cartesian data
Webinar #7
Date/Time: December 1, 2022 at 8:00 - 10:00 am US-PST, 16:00 - 18:00 UTC
Webinar #7 Materials)
Register here!
Check your local time here
- Deep dive into non-Cartesian reconstruction with BART
Webinar #6
Date/Time: March 1, 2022 at 8:00 - 10:00 am US-PDT
Webinar #6 Materials
Register here!
Check your local time here
- Deep learning reconstruction with BART
Webinar #5
Date/Time: September 21, 2021 at 8:00 - 10:00 am US-PDT
Webinar #5 Materials
Register here!
Check your local time here
- Introducing the new Python interface
Webinar #4
Date/Time: July 14, 2021 at 8:00 - 10:00 am US-PDT
Webinar #4 Materials
- Basic operations such as data loading, displaying images, k-space sampling etc.
- Image reconstruction including coil compression, sensitivity map calibration, and parallel imaging
Webinar #3
Date/Time: March 24, 2021 at 8:00 - 10:00 am US-PDT
Webinar #3 Recordings
Webinar #3 Materials
- Subspace-constrained reconstructions
- Analytical model-based phantom simulation
Webinar #2
Date/Time: Dec 2, 2020 at 8:00 - 10:00 am US-PST
Webinar #2 Recordings
Webinar #2 Materials
- SENSE reproducibility challenge
- Advanced regularization methods for dynamic MRI data
Webinar #1
Date/Time: June 1 and 2, 2020 at 8:00 - 10:00 am US-PDT
Webinar #1 Recordings
Webinar #1 Materials
Day 1
- Where to find docs, examples, and help
- Discussion of file format and dimensions
- Working with CLI tools and Matlab/Python wrappers
- Data preprocessing
- Compressed Sensing and non-Cartesian MRI reconstruction
- GRASP-like MRI reconstruction
Day 2
- Intro to the C-programming library
- Set up a build environment, compile, and run
- Add command-line parameter to existing tool
- Build a basic tool and system test
Acknowledgements
This work is supported by NIH Grant U24EB029240-01