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The results may differ from each other because of the multi-staged methods and differences in constituted models due to the redundancy of options.In this paper, effect of differences due to the slice intensity on natural vibration analysis results by using constant resolution Micro-Computational tomography (Micro-CT) data of L3 vertebrae in voxel based finite element models are investigated.
All functional images were corrected for slice intensity differences with reference to the middle slice acquired in time; corrected for motion artifacts by realignment to the first volume; corrected for distortions based on the field map [Hutton et al., 2002]; and corrected for the interaction of motion and distortion using the "Unwarp toolbox" [Andersson et al., 2001; Hutton et al., 2004].
These steps included: 1) Correction of odd versus even slice intensity differences attributable to interleaved acquisition without gaps, 2) correction for head movement within and across runs, and 3) across-run intensity normalization to a whole-brain mode value of 1000.
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But uneasy themes begin to build, among them the slicing intensity with which one artist critiques another ("A latrine, Baudelaire called George Sand").
The images were filtered for inter-slice intensity inhomogeneities.
For each slice, the intensity of the slice was linearly modified so that the average intensity of this region was set to the same arbitrary value in all the images.
Figure 5 Slice signal intensity profile of the edge slice images.
Onthe other hand, the 32-channel head coil has the highest SNR and the lowest noiselevel, as shown in Figures 4 and 5. Figure 4 Slice signal intensity profile of the center slice images.
The bias and artifacts in MRI are mainly system-related, e.g., RF inhomogeneity causing slice and volume intensity inconsistency.
On breast tumour slices, staining intensities (ISs) established with the ER1D5 monoclonal antibody used here have often been reported to be correlated with [H]oestradiol binding capacities of corresponding cytosolic extracts [ 5, 6, 47].
Standard deviation of intensities of pixels in the k th slice with an intensity level higher than μ k), σ k): The threshold μsup(k) + σ(k) allows us to obtain a binary mask which is used later in the segmentation stage in order to locate the descending aorta in all the slices of the volumetric scan.
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