Improving the quality of reconstructed X-ray CT images of polymer gel dosimeters: zero-scan coupled with adaptive mean filtering

摘要: This study evaluated the feasibility of combining ‘zero-scan’ (ZS) X-ray computed tomography (CT) based polymer gel dosimeter (PGD) readout with adaptive mean (AM) filtering for improving signal to noise ratio (SNR), and compare these results available average scan (AS) CT techniques. NIPAM PGD were manufactured, irradiated 6 MV photons, imaged processed in Matlab. AM filter two iterations, 3 × 5 pixels (kernel size), was used scenarios (a) images subjected (pre-processing) further employed generate AS ZS images, (b) first reconstructed from then carried out (post-processing). SNR an ROI 30 different pre post processing cases. Results showed that technique combined resulted improved SNR. Using previously-recommended 25 reconstruction pre-processed protocol can give increase 44% 80% kernel sizes respectively. However, using both techniques introduced blur a reduction spatial resolution. Based on this work, it is possible recommend method may be appropriate size, produce large images.