Papoulis-Gerchberg (PG) algorithm method for k-space extrapolation.

Source: R/mrs_data_proc.R

PG method as described in: Haupt CI, Schuff N, Weiner MW, Maudsley AA. Removal of lipid artifacts in 1H spectroscopic imaging by data extrapolation. Magn Reson Med. 1996 May;35(5):678-87. Extrapolation is performed to expand k-space coverage by a factor of 2, with the aim to reduce Gibbs ringing.

pg_extrap_xy(
  mrs_data,
  img_mask = NULL,
  kspace_mask = NULL,
  intensity_thresh = 0.15,
  iters = 50
)

Arguments

mrs_data

MRS data object.

img_mask

a boolean matrix of voxels with strong signals to be extrapolated. Must be twice the dimensions of the input data.

kspace_mask

a boolean matrix of kspace points that have been sampled. Typically a circle for MRSI, but defaults to the full rectangular area of k-space covered by the input data. Must match the x-y dimensions of the input data.

intensity_thresh

used to define img_mask based on the strength of the signal in each voxel. Defaults to intensities greater than 15% of the maximum. Ignored if img_mask is specified as argument.

iters

number of iterations to perform.

Value

extrapolated mrs_data object.