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 computed tomography reconstruction methods to achieve the better contrast, resolution or other types of the functional analysis 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 producing the elementary image compartmentalization results with the artificial bone sample CT data. Thus, the high absorption artifacts removal technique is given the complimentary function of the structural analysis and revealing the metal pins scaffolding skeleton. The basic multilevel thresholding is used to reveal the targeted structures. The results could be extremely useful for the noisy, unfiltered X-ray source, single run data sets. The data have been supplied by the homemade CT scanner assembly and processed with the custom 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.

Keywords

• computed tomography
• thresholding
• compartmentalization
• fdk algorithm
• backprojection