Sentence examples for surrounding voxels from inspiring English sources
Therefore, our task is to identify and analyze the structures (or shapes) formed by red voxels and green voxels plus the surrounding voxels of "black" cells in 3D microscopic images.
To summarize, the above analysis of the geometrical shape based on the vicinity (surrounding voxels) is calculated for each voxel by Eq. 4 to yield a degree of resemblance to vessel-like structures.
In order to study the influence of lower contrasts on LBPVC we reduced the voxel values inside the lesion by a factor of two for a subgroup of 5 selected lesions (while keeping surrounding voxels unmodified).
The local background for each voxel in the spill-out region is computed as the average of all surrounding voxels whose distance to the current voxel (red spot in Figure 2) fulfills d≤1.5· FWHM (red circle in Figure 2) and which are actually belonging to the background region (blue in Figure 2).
If none of the surrounding voxels within the search range belongs to the background region (as can happen, e.g., for voxels in a central necrosis of a tumour), the background of the affected target voxel is assumed to be equal to the average of the complete background region.
After analyzing localization of these voxels and their surrounding voxels, the assignment of these voxels was confirmed to be correct.
Thus, our problem is to first identify the clusters (or galaxies) of discrete red/green points or voxels plus surrounding black voxels while at the same time ignore the "isolated" red/green points (or isolated stars), and then from the resulting clusters, reconstruct the (continuous) surfaces and volumes of the clots.
The activity recorded in the layer of voxels surrounding the arterial voxels, termed the external voxels, was significantly lower than the activity of the non-vascular tissue within the arterial voxels, termed the surrounding tissue, particularly around the peak in arterial activity concentration, as illustrated by Additional file 1: Figure S1.
To characterize state-related differences in control region activation during task performance, we compared activation within a 10×10×10 mm cube of voxels surrounding the peak voxels obtained from the conjunction analysis described above in addition to running an ANOVA-based analysis.
To identify the individual voids, it suffices to evaluate 3D connectivity of each void voxel with a structuring element of the surrounding 26 voxels.
For all analyses, significant activation peaks of interest in the group statistical maps were interrogated using FEATQUERY: A mask was created manually in MNI template standard space, incorporating several voxels surrounding the peak voxel in order to create a mask, typically of 5 20 voxels (0.14 0.54 cm3) in volume after transformation back to each participant's native space.
