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MatMRI: A GPU enabled package for model based MRI image reconstruction

Baron, Corey A; Dubovan, Paul I

MatMRI is a package for MRI image reconstruction using only core or toolbox MATLAB® functions (i.e., no mex files or pre-compiled binaries). This philosophy is used to enable easy integration with built-in MATLAB® GPU functionality, and to minimize dependencies. It currently supports:

  • non-Cartesian regridding
  • iterative SENSE (Cartesian or non-Cartesian)
  • iterative SENSE for higher order models that may include:
    • an off-resonance map
    • time varying spherical harmonics of phase accrual
  • compressed sensing for higher order models
  • spherical harmonic estimation using raw field probe data

Also see https://gitlab.com/cfmm/matlab/matmri

Related publications:

Dubovan PI, Baron CA. Model-based determination of the synchronization delay between MRI and trajectory data. Magn Reson Med. 2022 Sep 26. doi:10.1002/mrm.29460. PMID: 36161333.

Baron CA, Dwork N, Pauly JM, Nishimura DG. Rapid compressed sensing reconstruction of 3D non-Cartesian MRI. Magn. Reson. Med. 2018;79:2685–2692.

Wilm BJ, Barmet C, Pruessmann KP. Fast higher-order MR image reconstruction using singular-vector separation. IEEE Trans Med Imaging. 2012 Jul;31(7):1396-403. doi: 10.1109/TMI.2012.2190991. Epub 2012 Mar 14. Erratum in: IEEE Trans Med Imaging. 2012 Sep;31(9):1833.

Natural Sciences and Engineering Research Council of Canada (NSERC), RGPIN-2018-05448
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  • Baron CA, Dwork N, Pauly JM, Nishimura DG. Rapid compressed sensing reconstruction of 3D non-Cartesian MRI. Magn. Reson. Med. 2018;79:2685–2692

  • Wilm BJ, Barmet C, Pruessmann KP. Fast higher-order MR image reconstruction using singular-vector separation. IEEE Trans Med Imaging. 2012 Jul;31(7):1396-403. doi: 10.1109/TMI.2012.2190991. Epub 2012 Mar 14. Erratum in: IEEE Trans Med Imaging. 2012 Sep;31(9):1833

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Publication date:
February 2, 2021
DOI:
10.5281/zenodo.7391152

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Keyword(s):
MRI Model based reconstruction Magnetic resonance imaging
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Version 0.1.05 10.5281/zenodo.7391152 Feb 2, 2021
Version 0.1.04 10.5281/zenodo.5708265 Feb 2, 2021
Version 0.1.00 10.5281/zenodo.4495477 Feb 2, 2021
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