Khan, Muhamnmad Wishal, Oroojeni Mohamad Javad, Hooman ORCID: https://orcid.org/0000-0002-9653-8563, Sanghera, Bal, Blackwell, Tim and Al-Rifaie, Mohammad Majid ORCID: https://orcid.org/0000-0002-1798-9615 (2025) Tomographic reconstruction with real-time a priori acquisition. In: GECCO '25: Proceedings of the Genetic and Evolutionary Computation Conference. The Association for Computing Machinery (ACM), New York, NY, United States, pp. 1379-1387. ISBN 979-8400714658 (doi:10.1145/3712256.3726365)

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Abstract

An a priori construction technique is proposed, utilizing a minimal swarm optimizer to achieve enhanced reconstruction accuracy. Central to the method is the incorporation of a priori information, constructed dynamically without prior knowledge of material properties, positions, or structural details. Instead, this a priori information is derived directly from sinogram projections for each defined angle in the set. A novel dynamic masking strategy leverages these sinogram-derived values to identify certain entries, generating a priori data structure that removes regions in the reconstructed image corresponding to zero sinogram values, thereby achieving theoretical dimensionality reduction. This approach effectively eliminates noise and artifacts, resulting in significantly lower reconstruction and reproduction errors.

Item Type:	Conference Proceedings
Title of Proceedings:	GECCO '25: Proceedings of the Genetic and Evolutionary Computation Conference
Additional Information:	GECCO '25: Genetic and Evolutionary Computation Conference July 14 - 18, 2025, Malaga, Spain.
Uncontrolled Keywords:	Swarm intelligence, tomographic reconstruction, a priori, denoising, regularization
Subjects:	Q Science > Q Science (General) Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) Faculty of Engineering & Science
Last Modified:	26 Sep 2025 13:14
URI:	https://gala.gre.ac.uk/id/eprint/51081

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