mSSFP (Multi-SSFP Reconstruction Library)

mSSFP is library for image reconstuction for multi-acqusition SSFP. This library supports ssfp simulations, various phantom generators, and various ssfp recontructions using muliple phase-cycled ssfp images.

Steady-Stead Free Precession (SSFP) MRI is class of fast pulse sequence capable of generating high SNR images. However, SSFP is highly-sensitive to off-resonance effects, which cause banding artifacts. Multiple SSFP images with different phase cycle amounts can be combined to suppress banding artifacts and for the estimation of quantitative biomarker like T1/T2 relaxation parameter mappings. Multiple methods for band suppression have been developed over the years, and this library gives working code and notebook examples for a variety of these reconstrcution techniques.

Notebooks

Jupyter notebooks for examples of how to use the mSSFP library.

• Basic SSFP Simulations (notebook)
• Phantom Examples (notebook)
• SSFP Banding Artifact Removal (notebook)
• PLANET for T2/T1 Mapping of SSFP (notebook)
• SuperFOV for accelerated SSFP (simple notebook, detailed notebook)

Features

Simultations

• SSFP

Phantoms

• Shepp-Logan phantom
• Simple block phantoms
• Brain phantom

Banding Artifact Removal Recons

• Sum of squares
• Eliptical singal model
• Super field of view (superFOV)

Quantitative MR Recons

• PLANET for T2/T1 mapping

Development

This project requires python 3.8+ and has the dependancies in requirement.txt

To setup a python enviroment with conda:

conda create -n mssfp python=3.8 
conda activate mssfp

Then install packages with pip using requirements file

pip install -r requirements.txt