This T2-weighted radial imaging technique, introduced by Pipe [ 10], is intrinsically self-navigated as oversampling of the central k-space can be used to reduce motion characteristics and to correct motion artifacts.
Adjustment for baseline characteristics is planned to correct for possible imbalance between the randomised groups and to provide a stratified estimate of the effect of intervention if applied [ 29, 30].
This has provided two distinct routes for improving the performance of transmitters: by enabling nonlinear sensor characteristics to be corrected, and by enabling a secondary sensor to be included so that secondary effects on the primary sensor can be compensated.
All analyses were performed on the total dataset and on a for-baseline characteristics propensity score-matched sample to correct for possible imbalances between the groups.
However, even chronic insulin treatment seemed unable to correct the characteristic dysfunction of diabetics EPCs (here illustrated by the decrease in CD45dimCD133+KDR+ EPCs, which may represent an impairment in mobilization from bone marrow, and reduction in CXCR4+ subpopulations, denoting a possible homing dysfunction).
This paper presents a frequency interleaving method to correct non-ideal characteristics of wideband signal generators.
To correct for baseline characteristics, the relation between type 2 diabetes (compared with type 1 diabetes) and the presence and extent of CAD were evaluated using multivariate regression analyses (Table 3 ).
A multiple Cox regression model was run with randomisation stratification factors (oestrogen and progesterone hormone receptor status, measurable disease, and prior adjuvant taxane therapy) as covariates to correct for baseline characteristics.
This is to correct for the characteristic features of the radionuclide and of the patient, like inhomogeneous intra-organ distribution, shorter penetration range, dose rates following exponential decay and patient-specific geometry.
