Performing computed assisted tomography (CAT) requires a perfect centering of the rotation axis with the center of the
detector. This requirement is sometimes hard to obtain. Thus, a post acquisition centering correction of the acquired
data is mandatory. Several correction techniques can be found in the literature. However, all of them are not completely
reliable when the measure is not performed in perfect experimental condition. As matter of fact, researcher use to fit the
center of rotation by a post measure visual inspection of the projections. This approach is not practical at highthroughput
tomography system where hundreds of samples a day can be easily measured , moreover, the visual
approach does not always give the best centering.
In this paper we report a new centering technique that is more robust when the quality of the acquired data is poor due
to low contrast or noisy acquisition.© (2004) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.