However, in order to apply slice-level parallelism to a HEVC encoder, we need to focus on CTU structures, variable block sizes, and coding modes.
We applied slice scan time correction using sinc interpolation and ascending slice scanning order, 3D motion correction using trilinear interpolation, spatial smoothing (8 mm Gaussian kernel), and a temporal high pass filter (3 cycles per time course).
Applying slice physiology techniques to projection neurons and interneurons identified through a transgenic live fluorescence marker [26], we observed both direct and indirect NPS effects in the LA that culminated in a modulation of rhythmic cellular activities in the theta frequency range.
Motion correction was applied slice-by-slice using FSL FLIRT with three degrees of freedom (Tx, Ty, Rz).
Functional datasets were preprocessed by realigning all volumes of each subject to the mean image generated for each run, and by applying slice time correction.
Finally, the inverse Radon transform can be applied slice by slice (z-positions) to the projection data obtained from the different orientations α of the sample to generate a 3D image of the initial pressure distribution.
To improve mixing, we introduce a small modification: Before applying slice sampling, we first reorder all J × (J + 1)/2 entries in matrix D i(m) according to their prior probabilities in P i(m).
We applied slice scan time correction using sinc interpolation, 3D motion correction using trilinear interpolation, spatial smoothing (8 mm Gaussian kernel), and a temporal high-pass filter (low frequency cut-off: 3 cycles per run).
The following procedures were applied: slice timing adjustment; realignment for head motion correction (subjects with head motion >2.0-mm translation or >2.0o rotation were excluded); spatial normalization to standard Montreal Neurological Institute (MNI) template with a resampling voxel size of 3 × 3 × 3 mm; spatial smoothing with a Gaussian kernel of 4 mm.
