HOME / TRAINING / ELECTRONIC TRAINING MATERIALS /

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

IGT Applications

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

Downloads

Version 2.2 Released January 19, 2015.

OS

Package

MD5 Checksum

Windowsncigt_fil_v2.2_20150119_MSWin64.zip801b28d8e8e48a818824b602c1c0e69d
Windows MEX filesncigt_fil_v2.2_20150119_MSWin64_mex.zip842a47a16f93b1e6bf71978f484e6943
Mac OS-X (darwin 64-bit)ncigt_fil_v2.2_20150119_darwin_x64.zip31f1028c9c5ee3850997473a134802b3
Linux 32-bitncigt_fil_v2.2_20150119_x32.zipb52f7685a6af92ca7d17cb20c2534d2b
Linux 64-bitncigt_fil_v2.2_20150119_x64.zip62183690a4c07be064dfcd2ecdd2c327

Change Log

  • ''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

Version 2.00 Released July 24, 2014.

OS

Package

MD5 Checksum

Windowsncigt_fil_v2.0_20140724_MSWin64.zip0779cde41956771508582b690d4d77b1
Windows MEX filesncigt_fil_v2.0_20140724_MSWin64_mex.zip0d1d4d25206f8a6877eee1e43f5215de
Mac OS-X (darwin 64-bit)ncigt_fil_v2.0_20140724_darwin_x64.zip1a0d71e81e92d6ace9a7ff76d0a54972
Linux 32-bitncigt_fil_v2.0_20140724_x32.zip4d7d09ac3a0e2880d1aa48e3e00c3c06
Linux 64-bitncigt_fil_v2.0_20140724_x64.zip1e8fdaa64380b6ffa382b56c9ebd6194

Change Log

  • 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