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A method for correcting image misregistration due to organ motion in dynamic magnetic resonance (MR) images combines mutual correspondence between images with transform invariant features [18].
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Correcting images also influenced agreement between machines.
Figure 7 Inhomogeneous illumination correction using PHEEMD algorithm: (a) original image, (b) histogram of original image, (c) corrected image, and (d) histogram of corrected image.
(a) Original corrupted image, (b) corrected image by the 2D VWMA/WMA method, (c) corrected image by the RCP method and (d) corrected image by the proposed technique.
The corrected image is shown in Figure 15c.
The images in the distorted image space are mapped onto the corrected image space by using a polynomial mapping model.
Otherwise, the corrected image is produced by division of those generated images. .
Otherwise, the corrected image is produced by division of those generated images.
A comparison between the reconstructed bubble shape and its refraction corrected image gives a reasonable match in shape and volume.
Thirdly, we compute the phase map by using the corrected image as input.
In addition, the probable number of iterations that affect the attenuation corrected image was calculated.
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