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Removing noise in computer tomography (CT) data for real-time 3Dvisualization is vital to improving the quality of the final display. However,the CT noise cannot be removed by straight averaging because the noise has abroadband spatial frequency that is overlapping with the interesting signalfrequencies. To improve the display of structures and features contained in thedata, we present spatially variant filtering that performs averaging ofsub-regions around a central region. We compare our filter with four othersimilar spatially variant filters regarding entropy and processing time. Theresults demonstrate significant improvement of the visual quality withprocessing time still within the millisecond range.

Real-time Local Noise Filter in 3D Visualization of CT Data