Quantitative MR methods require reproducibility studies to evaluate their accuracy and precision which can be difficult when MR sequences can vary between centers and scanners. In addition, faster prototyping for concept testing and improvement is challenging and time consuming.
This package offers an open-source Prototype of Myocardial T1 mapping (ProMyoT1) using Pulseq [1,2] which includes an inversion recovery T1 mapping sequence with a triggering scheme. ProMyoT1 accessibility allows faster implementation of new ideas, while its applicability to different vendors though Pulseq versatility makes it an easier route for reproducibility studies.
If you use the sequence ProMyoT1 in your work, cite as:
Andreia S Gaspar, Nuno A Silva, Rita G Nunes. "ProMyoT1: Open-source Inversion recovery myocardial T1 mapping sequence for fast prototyping” Proc. of Annual Meeting ISMRM 2021, Virtual Meeting, 2021.
ProMyoT1 can be build with Matlab or Python:
- Matlab:
- ProMyoT1 can be build from code in Matlab_ProMyoT1 folder. Files in mr+ folder should be added Pulseq mr+ folder.
- Python:
- PyProMyoT1 can be build from code in Python_pyProMyoT1 folder. This requires pypulseq [2] .
- A tutorial notebook for pyProMyoT1 is available at
In order to create a ProMyoT1.seq file you will need:
- Matlab: Pulseq package available at: https://github.com/pulseq/pulseq
- Python:
- pyPulseq [2] package available at: https://github.com/imr-framework/pypulseq
- You can also install with
pip install pypulseq
- Layton KJ, Kroboth S, Jia F, Littin S, Yu H, Leupold J, Nielsen JF, Stöcker T and Zaitsev M. Pulseq: A rapid and hardware‐independent pulse sequence prototyping framework. Magn Reson Med. 2017;77:1544-1552. https://doi.org/10.1002/mrm.26235
- Keerthi R, Geethanath S, and Vaughan J. PyPulseq: A Python Package for MRI Pulse Sequence Design. Journal of Open Source Software. 2019;4(42): 1725. https://doi.org/10.21105/joss.01725
