Fast Imaging Library

This library of functions provides a number of algorithms to reconstruct
accelerated MR data, including

• UNFOLD
• Parallel Imaging Methods
• SENSE, Variable Density SENSE, regularized SPACE RIP, GRAPPA, and GROG

as well as a number of associated MR image reconstruction algorithms, including:

• Homodyne processing of partial-Fourier data
• Gradient field inhomogeneity correction (gradwarp)
• Nyquist Ghost correction

The complete package includes a reference manual (PDF and HTML), a binary library file, and demos in both C and Matlab (via MEX). To get started, follow the “Quick Start Guide” given in the manual.
Please direct support and other inquires to: ncigt-imaging-toolkit at bwh.harvard.edu

The library is currently used for reconstruction of EPI data by the BWH Functional Neuroimaging Lab in z-shimmed applications.
Previously, this imaging toolkit was used in two projects within the IGT Center

• Temperature Monitoring
• Prostate Biopsy Tracking

• License
• Reference Manual

• ”the data order for GRAPPA has changed.” Previously, the GRAPPA functions expected data ordered as ky-kx-coil. With this release, the data should now be ordered as kx-ky-coil.  This change makes the code a bit more efficient and more consistent with other functions in the library.
• added field for slice-order and user_parameters to the SCAN_INFO structure
• updated the phase_align code to use a more robust line-fitting algorithm
• added a function to grappa_recon__all_slices

• Added functions for GROG, specifically to support PROPELLER with multi-channel data
• Re-arranged the parameter order for gwarp_prep, so that it is consistent with gwarp_calc.  Both now start with { tl, tr, br, bl, … }
• The DICOM demo can now replace image data as well as DICOM tag data
• GRAPPA coefficients can now be saved and shared between Matlab and C programs
• revived the GE ref.dat Nyquist ghost correction code, and made it reusable with other NGC methods
• added sliding target GRAPPA calibration code, to support GROG