Image Reconstruction of Single Photon Emission Computed Tomography (SPECT) on a Bubble Column Using Expectation Maximization and Exact Inversion Algorithms: Comparison Study by Means of Numerical Phantom

摘要

Expectation Maximization Algorithm and the Exact Inversion Formula are two mathematical methods that have been developed for various computational applications, such as in medical imaging, nuclear industries, econometric and sociological studies, as well as chemical engineering industries. These image reconstruction methods are usually used to create the Single Photon Emission Computed Tomography scan images. However, most of the improvement and development of the images are made by using a medical phantom, such as the human brain phantom. Here, in this paper the reconstruction of images by both algorithms are made by using a numerical phantom of laboratory scale bubble columns due to its wide application in the chemical reaction engineering studies. The results for both algorithms are compared, evaluated and discussed.