The most well-known application of tomography is that of powerful tool in industrial imaging for obtaining shape and dimendiagnostic radiology, where the problem of reconstructing an sional information of industrial parts. It also serves to provide digital object from its line integrals can be found in X-ray computed models of parts for inputs to new and emerging technologies in the tomography (CT) [1,2], positron emission tomography (PET) manufacturing industry which have begun to embrace CT-assisted [3], single photon emission computed tomography (SPECT) engineering and design. Since a large number of objects encountered [4], and magnetic resonance imaging (MRI) [5]. Probably the in industrial CT are made of either a single homogenous material next most well-known application of tomography is industrial or a few homogenous materials, algorithms for discrete tomography nondestructive evaluation (NDE). This technology is used in a should, in principle, yield CT images whose resolution and dimennumber of industrial environments such as solid rocket motor sional accuracy are superior to CT images obtained by conventional algorithms. This in turn should result in significant improvements in inspection [6], stress analysis [7], oil recovery [8], and baggage the accuracy of boundaries extracted from CT images for digital modinspection [9]. In these medical and industrial applications, the els of a large class of parts of interest in CT-assisted manufacturing.
most popular methods of reconstructing f are based on algorithms
In this article, we look at some important applications in CT-assisted that solve the continuous tomography problem by using analytic manufacturing that can benefit from the techniques of discrete tomogexpressions for the inverse operation defining the solution for f raphy, and discuss some of the technical challenges faced in exfrom its line integrals. Then, the derived solution is discretized tracting boundaries with the degree of accuracy demanded for engiat the end for computer implementation.
neering and manufacturing applications.