A deconvolution analysis (correcting for scanner drift) was used to generate impulse response functions (IRFs) of the fMRI signal on a voxelwise basis.
Preliminary results suggest that a pixel-by-pixel deconvolution analysis of the DCE MRI data of breast tumours provides regional perfusion parameters, which can be a valuable tool in the tumour characterisation.
Thus, it is possible, by applying a spectral deconvolution analysis, using spectral forms of Chl and carotenoids in protein environment [ 20] to deduce the protein environment in which a carotenoid is bound.
Next, the IRF for the whole trial (i.e., cue, preparation, and response together) in each voxel was generated by running a separate deconvolution analysis in which we coded only the start of each trial and estimated the response up to 21 s after the trial onset.
Serum insulin concentration time series were analyzed in a blinded manner by deconvolution analysis to quantitate insulin secretory burst mass, burst amplitude, basal secretion, and interpulse interval [ 13, 14].
The IRF is obtained by deconvolution analysis using a constrained least square method.
The ISR was calculated by deconvolution analysis based on a two-compartment model of C-peptide (C-PEP) elimination and was calculated from the C-PEP concentrations using the insulin secretion (ISEC) computer program to calculate insulin secretion 21.
Plasma PTH concentrations were evaluated by multiparameter deconvolution analysis and plasma PTH release profiles were also subjected to an approximate entropy estimate.
Therefore, a color deconvolution analysis was performed to obtain an estimate of nuclear size in the IHC-stained slides as described in the Methods.
