Sentence examples for acquisition correction from inspiring English sources
In addition to on-line motion correction (prospective acquisition correction), functional scans were corrected retrospectively for motion using the AFNI algorithm (Cox and Jesmanowicz, 1999).
Data underwent slice-time acquisition correction using Fourier interpolation.
Acquisition of functional volumes employed Siemens' prospective acquisition correction (PACE) technique for motion correction, in which head movements are calculated by comparing successively acquired volumes and are corrected online [42].
Acquisition of functional volumes employed Siemens' prospective acquisition correction (PACE) technique for motion correction, in which head movements are calculated by comparing successively acquired volumes and are corrected on-line [17], [18].
Our design minimized movement artifact by training subjects prior to scanning to move their heads minimally while producing speech, by using phrases that require minimal jaw movement (e.g., da"), and by using other sophisticated motion correction techniques (e.g., an on-line acquisition correction technique during scanning, and use of motion parameters as regressors in the analyses).
Image acquisition, correction, and analysis proceeded as described above.
All common acquisition corrections were applied, i.e., normalization and corrections for scatter and attenuation, decay, and dead time.
Field map images were obtained for post-acquisition correction of gradient field effects.
Within-scanner measurements are remarkably reliable across scan sessions, being minimally affected by averaging of multiple acquisitions, B1 correction, acquisition sequence (MPRAGE vs. multi-echo-FLASH), major scanner upgrades (Sonata Avanto, Trio TrioTIM), and segmentation atlas (MPRAGE or multi-echo-FLASH).
Meanwhile, image-based computational methods have been developed to establish the spatial correspondences between PET data at different time frames [6 8], allowing for post-acquisition corrections to be applied.
The raw intensity of the bleached speckle was normalized involving acquisition bleaching correction, i.e., it was corrected by the background intensity.
