ismrm2019

ISMRM 2019

This material was presented at the ISMRM Annual Meeting 2019.

Title: BART Reconstruction Toolbox / Iterative Reconstruction Toolbox in Python
Meeting: 2019 ISMRM Annual Meeting, Montreal, Canada
Date: May 12, 2019

Demo dependencies

The workshop material was tested with BART version 0.4.04.

The demos use Jupyter notebooks with Python and Bash kernels. This is easiest to accomplish with Anaconda. After installing Anaconda, install the dependencies:

pip install h5py numpy matplotlib bash_kernel 

Finish installing the Bash kernel with the command,

python -m bash_kernel.install

Schedule

This folder contains standalone demos that show different BART use cases. The demos are self-documented within each directory, and are summarized below. Each tutorial is set up as jupyter notebook and can interactively be tested using Binder.

• Tutorial 1: Introduction to the BART command-line tools
  • Jupyter Notebook
  • 
• Tutorial 2: Compute g-factor using Python and BART
  • Jupyter Notebook
  • 
• Tutorial 3: Build a non-Cartesian SENSE reconstruction tool with the BART C API
  • Jupyter Notebook
  •