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In general, multiple slices are widely used for larger sequences due to parallel processing and error resilience.
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In order to select a peak value for each experiment, multiple slices were taken (see Methods ) at 10° intervals and all were examined for the spatial frequency of the first peak.
As single scans were acquired at these sites, no averaging of multiple slices was required.
For each tumour, multiple slices were acquired at five times after Gd-DTPA administration.
Because multiple slices were analyzed in each subject, a linear mixed-model regression analysis for repeated measures was performed to account for the fact that transmural-extent values are correlated within each subject.
From the 3D data sets, multiple 2D slices were reconstructed with a slice thickness of ∼30 μm.
Multiple thin slices were prepared from the precious particle by means of focused ion beam thinning, providing a unique three-dimensional access to its interior.
Measurements from multiple heart slices were averaged and Inf/AAR and AAR/LV calculated.
Multiple longitudinal slices were taken for each imaging depth of the catheter and fixed in 10% formalin in order to correlate OCT findings with histology.
The virtualized slices are assigned to multiple mobile users according to their differentiated priority of service flows.
QCT slices are produced using multiple scanners with a set of proper acquisition and reconstruction parameters).
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