Simple, contrast based, compartmentalization in 3D reconstruction from CT images

Abstract

We are interested in different procedures and techniques to preprocess and postprocess the data in computedtomography reconstruction methods to achieve the better contrast, resolution or other types of the functionalanalysis of the data. We report the straightforward application of the imaging artifacts treating technique,that is the elimination of the overexposure artifact due to the presence of the metal object, for producingthe elementary image compartmentalization results with the artificial bone sample CT data. Thus, the highabsorption artifacts removal technique is given the complimentary function of the structural analysis andrevealing the metal pins scaffolding skeleton. The basic multilevel thresholding is used to reveal thetargeted structures. The results could be extremely useful for the noisy, unfiltered X-ray source, single rundata sets. The data have been supplied by the homemade CT scanner assembly and processed with thecustom reconstruction software developed specifically for this setup. OpenCV package tools for the C/C++libraries compiled with the MS Visual Studio IDE compiler were extensively used.