This software provides algorithms for the reconstruction of raw MR data. In
particular, it supports the reconstruction of accelerated data acquisitions
where k-space is subsampled and the Fourier domain encoding is complemented
by temporal encoding, spatial encoding, or and/or a constrained
reconstruction. This library of functions provides a number of
reconstruction algorithms that accurately employ advanced MR imaging methods
including: UNFOLD; parallel imaging methods such as SENSE and GRAPPA;
Homodyne processing of partial-Fourier data, and gradient field
inhomogeneity correction (gradwarp); EPI Nyquist Ghost correction and
ramp-sampling gridding. The target audience is research groups who may be
interested in exploring or employing advanced MR reconstruction techniques,
but don't have the necessary expertise in-house.

Inquires may be directed to: ncigt-imaging-toolkit -at- bwh.harvard.edu