NC-IGT Fast Imaging Library
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.
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
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.
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
