Performance evaluation of a micro-CT x-ray scanner using Kanpur theorems

The present work focuses on the performance evaluation of the new Micro-CT scanner installed at University of Manchester. A graphite core object has been scanned through MicroCT scanner. The system has 2k x 2k size detector array. An experiment has been carried out with this scanner to scan the object cross section for 3796 data rays and 3600 views. The projection data obtained has been used for the reconstruction using CBP algorithm for the central plane of the object. Hamming class of filters has been used in the reconstruction. It is already shown that Nmax, maximum gray level of the reconstructed image is a good indicator of the error in the reconstruction. This concept has been used earlier for analysis of CT images obtained from older models of X-ray CT scanners. We now use the Kanpur Theorem (KT-1) based signature for quantification of performance of this scanner. Results show very good linearity in the KT-1 graph indicating “nearly perfect” projection data and absence of any non-linear noise generated by the CT instrumentation. The second phase of current work includes application of the above work with Nano-CT machine.