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@article{Nyotoka_Ally_Nombo_2024, title={Diffusion-Steered Algorithm for Improving Quality of Images Generated by Electrical Capacitance Tomography Measurement System}, volume={50}, url={https://tjs.udsm.ac.tz/index.php/tjs/article/view/1829}, DOI={10.4314/tjs.v50i2.17}, abstractNote={<p align="justify"><span style="font-family: Times New Roman, sans-serif;"><span style="font-size: small;"><span lang="en-US">Electrical Capacitance Tomography (ECT) is a non-invasive, non-intrusive, radiation-free, robust, and cost-efficient measurement system that generates cross-sectional images of industrial operations by measuring differences in dielectric properties within a container. Despite its advantages, the poor quality of reconstructed images limits its applicability. Researchers have explored both non-iterative and iterative methods to address this issue, yet the resulting image quality remains insufficient for high-stakes applications where accurate decision-making is critical. This study proposes a novel algorithm that integrates the ECT model with a diffusion-steered image denoising functional, enhancing the quality of ECT reconstructed images beyond existing methods. Empirical comparisons show that the proposed algorithm outperforms state-of-the-art techniques such as Linear Back Projection and Projected Landweber, with Distribution Error (DE) and Correlation Coefficient (CC) improvements of 62% and 19%, respectively. Qualitative assessments further indicate the superior performance of the proposed algorithm in reconstructing high-quality images.</span></span></span></p>}, number={2}, journal={Tanzania Journal of Science}, author={Nyotoka, George and Ally, Nassor and Nombo, Josiah}, year={2024}, month={Jul.}, pages={387–396} }