Tomographic Reconstruction with Search Space Expansion
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al-Rifaie, Mohammad Majid and Blackwell, Tim. 2023. 'Tomographic Reconstruction with Search Space Expansion'. In: Genetic and Evolutionary Computation Conference (GECCO ’23). Lisbon, Portugal 15 - 19 July 2023. [Conference or Workshop Item]
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Abstract or Description
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.
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Item Type: |
Conference or Workshop Item (Paper) |
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| Additional Information: |
"© 2023 Copyright held by the owner/author(s). This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record is available at, https://doi.org/10.1145/3583131.3590372." |
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| Keywords: |
tomographic reconstruction, search space resizing, high dimensional optimisation, swarm optimisation |
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| Dates: |
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| Event Location: |
Lisbon, Portugal |
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| Date range: |
15 - 19 July 2023 |
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| Item ID: |
34124 |
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| Date Deposited: |
27 Sep 2023 12:52 |
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| Last Modified: |
13 Oct 2023 01:41 |
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