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Figure 4 | BMC Medical Imaging

Figure 4

From: Masked smoothing using separable kernels for CT perfusion images

Figure 4

Intensity profile for line passing through the large object seen in Figure 3 . Simple Gaussian smoothing underestimates the raw values for the object, but overestimates the values neighboring the object. Values neighboring the object have a small increase in value, which is related to the underlying neighboring voxels being correlated as a result of the reconstruction process. Notice that Masked Smoothing was applied both to the background and the object.

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