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VoCentering
Process categoryBrief description

Computational demand

for typical tomography data

(low, medium, high)

Comment(s)Reference(s)Common alternative process(es)
filter

To find an optimal value of CoR automatically.

HighSince the computational cost of this auto-centring process is high, it is normally applied to a small, representative sub-set of data (this can most conveniently be done using the preview parameter of this process).   Reliable method for calculating the center of rotation in parallel-beam tomography VoCenteringIterative

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ItemParameter nameParameter formatExample(s)Comment(s)
Parameter valueEffect
1

preview




Note that the preview parameter has a cumulative behaviour, i. e., if you specify VoCentering's preview parameter together with NxtomoLoader's preview parameter, then you will effectively be selecting a sub-set from NxtomoLoader's sub-set (rather than the entire dataset).  
2

start_pixel




An initial estimate for the pixel coordinate of an optimal CoR.
3

search_area




If the value of the search_area parameter is set to the default interval of (-50, 50), then VoCentering will attempt to search for an optimal value of CoR in the (start_pixel - 50, start_pixel + 50) interval. For some datasets, this default range of search (100 pixel) may be not sufficiently large to include an optimal value of CoR, leading to subsequent sub-optimal reconstruction. Therefore, if the value of CoR determined by VoCentering is found to coincide with one of the search-interval limits (i. e. either start_pixel - 50 or start_pixel + 50), then this value of CoR may not necessarily be optimal, and one should re-run VoCentering with a larger value of the search_area parameter to confirm this result.     
4

in_datasets





5search_radius



6ratio



7out_datasets



8

datasets_to_populate





9row_drop



10step


In pixel units.

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