Voxelisation in the 3-D Fly Algorithm for PET
- Submitting institution
-
Bangor University / Prifysgol Bangor
- Unit of assessment
- 12 - Engineering
- Output identifier
- UoA12_53
- Type
- D - Journal article
- DOI
-
10.1016/j.swevo.2017.04.001
- Title of journal
- Swarm and Evolutionary Computation
- Article number
- -
- First page
- 91-105
- Volume
- 36
- Issue
- -
- ISSN
- 2210-6502
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
5
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Reconstruction in positron emission tomography is a computationally expensive process that is often performed on computer clusters. Underpinning an FP7-PEOPLE-2012-CIG grant `Fly4PET’and Bangor’s contribution to HPC Wales (£510k), we drew our inspiration from cooperative co-evolution and computer graphics. We demonstrated how to exploit the algorithm’s internal data, that is traditionally discarded, as confidence levels to significantly reduce the computational cost whilst improving the accuracy. The research arises from a collaboration with Gent University, Belgium (jean.louchet@gmail.com), Avicenne University Hospital, France (jm.rocchisani@gmail.com) and INRA-AgroParisTech, France (evelyne.lutton@inrae.fr). We extended our approach to generate artworks, displayed for 3 weeks in Galerie Louchard (2017) (evo@galerielouchard.paris).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
