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The method consists of verifying the tolerance of a particular ICP implementation to coarse registration errors.
As compared to predominantly pixel-based change detection systems which are highly sensitive to image registration errors, our grid (block) based approach is more robust to registration errors.
The external registration errors from the ICP algorithm were 6.2 19.8 mm for this dataset.
We artificially added registration errors from the 60 to 90th frames.
CT to CT registration errors were previously investigated and known to be small [16,20].
A multi-atlas could also reduce the negative impacts from registration errors [90].
Such registration errors could not be completely eliminated but accumulated along the registration progress.
The direct integration of the gratings with the pixels eliminates all pixel registration errors encountered with previous infrared polarimetry instruments.
Misaligned MR data reduced the recovery values towards those obtained by post-smoothed ML, for small registration errors.
The quantification of registration errors is difficult because the processing of human prostate tissues has to follow established methodological standards.
The average registration errors are plotted in Fig. 14 b with the overall mean error 1.08 pixels.
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