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Tomographic reconstruction with search space expansion

Tomographic reconstruction with search space expansion

Al-Rifaie, Mohammad Majid ORCID: 0000-0002-1798-9615 and Blackwell, Tim (2023) Tomographic reconstruction with search space expansion. In: GECCO '23: Proceedings of the Genetic and Evolutionary Computation Conference. Lisbon, Portugal. July 15th - 19th 2023. Genetic and Evolutionary Computation Conference (GECCO) . Association of Computing Machinery (ACM), New York, pp. 1286-1293. ISBN 979-8400701191 (doi:https://doi.org/10.1145/3583131.3590372)

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Abstract

A search space expansion process is proposed in the context of tomographic reconstruction (TR). The idea is to widen the effective search space in a series of increasing sizes with clamping on the search space boundary. The technique was tested on four simple phantoms and on the clinically important Shepp-Logan phantom. Dispersive flies optimisation (DFO), a lightweight particle swarm optimisation (PSO) variant, is shown to produce lower reproduction errors compared to standard TR toolbox algorithms. The expansion technique demonstrably decreases salt-and-pepper noise. DFO with 50 subspace searches was found to be superior to differential evolution, PSO and, more importantly, a number of conventional reconstruction techniques. To the best of our knowledge, this is the first work where search space expansion, in its literal form, is introduced, discussed and applied to this problem.

Item Type: Conference Proceedings
Title of Proceedings: GECCO '23: Proceedings of the Genetic and Evolutionary Computation Conference. Lisbon, Portugal. July 15th - 19th 2023
Uncontrolled Keywords: swarm optimisation; tomographic reconstruction; high dimensional optimisation; search space resizing
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > R Medicine (General)
T Technology > T Technology (General)
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Last Modified: 15 Sep 2023 15:34
URI: http://gala.gre.ac.uk/id/eprint/44125

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