Parameter estimation approach to banding artifact reduction in balanced steady-state free precession.
Short description of the contents of the LORE-GN package. The code comes with no warranty.
Please refer to the paper for more details: "Parameter estimation approach to banding artifact reduction in balanced steady-state free precession" http://onlinelibrary.wiley.com/doi/10.1002/mrm.24986/full
Written by: Marcus Bjork, R. Reeve Ingle, Erik Gudmundson, Joelle K. Barral, 2013
Copyright, Marcus Bjork, Uppsala University, 2013
This file is part of the LORE-GN package.
LORE-GN is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
LORE-GN is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with LORE-GN. If not, see http://www.gnu.org/licenses/.
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Runnable scripts: runLOREGN (Figs. 4, 5, 6, 7 and 8) MSEvsSNR (Figs. 1 and 2) CRBplot (Fig. 3)
Main functions: LORE - LORE algorithm GNORM - Gauss-Newton implementation postProc - Post processing step
Help functions: SNRcalc - Estimates SNR mat2image - Makes a big image from 3D matrix of images (for plotting) growShrink - Shrink or grow a mask genData - Generate data based on the bSSFP model genDataMat - Same as genData but with extended matrix support (slower) CRB - Computes CRB based on S_0, a, b, theta parameterization CRBT1T2 - Computes CRB based on KM_0, T1, T2, theta parameterization fixLineStyles - Sets the line styles for the MSE plots to correspond with the paper
For comparison: LMORM - Uses Levenberg-Marquardt to estimate parameters startGuess - Computes starting guess vector for LMORM SoS - Sum-of-Squares method maxIntensity - Maximum Intensity method XSORM - Cross-Solution from Xiang et.al.