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Enlin Qian edited this page Sep 4, 2019 · 6 revisions

Welcome to the mrf wiki!

Open source MRF is a vendor-neutral, open source tool that enables consistent implementations across platforms for meaningful comparisons of MRF sequences. The package includes sequence design, image reconstruction, dictionary simulation, dictionary matching, and ROI analysis tool for ISMRM/NIST phantom. The work originated as an abstract submission to ISMRM 2019.

Motivation

MRF is a novel framework that has the potentials to overcome some current challenges in Magnetic Resonance Imaging (MRI)[1]. However, a vendor-neutral tool is required to enable consistent implementations across platforms for meaningful comparisons. In this project, we develop an open source MRF package that enables fast prototyping of MRF sequence leveraging Pulseq[2].

User guide

A quick guide for running the package is in the repository's README.md.

More information about each part of the package can be acquired by clicking each component on the sidebar.

  • Sequence design: Design a MRF sequence using Pulseq framework.
  • Image reconstruction: Reconstruct raw data based on the input trajectory file.
  • Dictionary simulation: Generate dictionary using EPG
  • Dictionary matching: Match the signal evolution with each dictionary entry using vector dot product.
  • ROI analysis: Detect all 14 spheres of a ISMRM/NIST phantom in the correct order.

Reference

  1. Ma D, Gulani V, Seiberlich N et al. Magnetic resonance fingerprinting. Nature. 2013;495(7440):187-192. doi:10.1038/nature11971
  2. Layton K, Kroboth S, Jia F et al. Pulseq: A rapid and hardware-independent pulse sequence prototyping framework. Magn Reson Med. 2016;77(4):1544-1552. doi:10.1002/mrm.26235
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