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Tutorial: Rational Approximation of Golden Angle Sampling in BART

Rational Approximation of Golden Angles: Accelerated Reconstructions for Radial MRI

N. Scholand, P. Schaten, C. Graf, D. Mackner, H.C.M. Holme, M. Blumenthal, A. Mao, J. Assländer, and M. Uecker

Submitted to Magnetic Resonance in Medicine

Preprint on ArXiv (DOI: 10.48550/arXiv.2401.02892)

Raw data, which has been acquired with the Rational Approximation of Golden Angles (RAGA) Sampling, can universally be converted into three different data formats:

  • Full Frame (FF) Format
  • Time-Resolved Retrospectively Binned Zero-Filled Full Frames (TFF) Format
  • Time-Resolved Retrospectively Binned Compressed (TC) Format

allowing for reconstructing static or dynamic data without any additional information about the projection angle. The raw data includes all this information directly.

Nevertheless, when being transformed in BART's default FF format, additional information is required to transform it into the TFF and TC format for time-resolved reconstructions.

This tutorial provides guidance of how to transform data into the individual formats and gives some examples of how to reconstruct them.

About the Tutorial

The tutorial can run on the CPU only, but it is highly recommended to have a GPU. The examples have been optimized for the Google Colab service providing the hardware infrastructure including a GPU. If you want to run the scripts on a CPU remove the -g flags from all nufft, pics, and rtnlinv commands.

Links

License

This work is licensed under a Creative Commons Attribution 4.0 International License. You should have received a copy of the license along with this work. If not, see https://creativecommons.org/licenses/by/4.0/.