Resample
Resampling is a crucial process in data analysis that involves adjusting the spacing of data points to achieve even distribution. This technique is particularly important when working with datasets that may have irregular spacing, as it allows for more consistent analysis and interpretation of the data.
By resampling the data, the voxels can become are uniformly spaced, which can enhance the accuracy of subsequent 3D analyses and visualizations.
For more details on the resampling methodology and its applications, please refer to the following publications: