Robust Alignment to a Target Spectrum (RATS).
Usage
rats(
mrs_data,
ref = NULL,
xlim = c(4, 0.5),
max_shift = 20,
p_deg = 2,
sp_N = 2,
sp_deg = 3,
max_t = 0.2,
basis_type = "poly",
rescale_output = TRUE,
phase_corr = TRUE,
ret_corr_only = TRUE,
zero_freq_shift_t0 = FALSE,
list_mean_ref = TRUE,
remove_freq_outliers = FALSE,
freq_outlier_thresh = 3,
remove_phase_outliers = FALSE,
phase_outlier_thresh = 3,
remove_amp_outliers = FALSE,
amp_outlier_thresh = 3
)Arguments
- mrs_data
MRS data to be corrected.
- ref
optional MRS data to use as a reference, the mean of all dynamics is used if this argument is not supplied.
- xlim
optional frequency range to perform optimisation, set to NULL to use the full range.
- max_shift
maximum allowable frequency shift in Hz.
- p_deg
polynomial degree used for baseline modelling. Negative values disable baseline modelling.
- sp_N
number of spline functions, note the true number will be sp_N + sp_deg.
- sp_deg
degree of spline functions.
- max_t
truncate the FID when longer than max_t to reduce time taken, set to NULL to use the entire FID.
- basis_type
may be one of "poly" or "spline".
- rescale_output
rescale the bl_matched_spec and bl output to improve consistency between dynamic scans.
- phase_corr
apply phase correction (in addition to frequency). TRUE by default.
- ret_corr_only
return the corrected mrs_data object only.
- zero_freq_shift_t0
perform a linear fit to the frequency shifts and set the (linearly modeled) shift to be 0 Hz for the first dynamic scan.
- list_mean_ref
is ref is not specified and a list is provided, use the list mean scan as reference. Otherwise use the mean of each list element as it's own reference.
- remove_freq_outliers
remove dynamics based on their frequency shift.
- freq_outlier_thresh
threshold to remove frequency outliers.
- remove_phase_outliers
remove dynamics based on their phase shift.
- phase_outlier_thresh
threshold to remove phase outliers.
- remove_amp_outliers
remove dynamics based on their amplitude change.
- amp_outlier_thresh
threshold to remove amplitude outliers.
