Oyibo, Prosper  ORCID: https://orcid.org/0000-0003-4316-0883, Brynolfsson, Patrik and Spezi, Emiliano ORCID: https://orcid.org/0000-0002-1452-8813
2024.
Integrating radiomic image analysis in the Hero Imaging platform.
Presented at: Cardiff University School of Engineering Research Conference 2024,
Cardiff, UK,
12th - 14th June 2024.
Published in: Spezi, Emiliano and Bray, Michaela eds.
Proceedings of the Cardiff University School of Engineering Research Conference 2024.
Cardiff University Press,
pp. 23-27.
10.18573/conf3.g
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Abstract
We present the integration of radiomic image analysis in the Hero Imaging platform. We created a SPAARC node on Hero Imaging Platform, which facilitates access to SPAARC’s cutting-edge functionality with the visual programming simplicity of the Hero Imaging platform. Subsequently, we validated the reliability of the SPAARCHero using the IBSI validation dataset of multimodal imaging (CT, F18-FDG -PET, and T1w MRI) comprising 51 patients with soft-tissue sarcoma. This validation involved evaluation of the ICC of SPAARCHero and two other IBSI compliant software, MIRP and SPAARCMATLAB using IBSI 2 phase 3 configuration and Test cases. Out of the 486 extracted features, 462 were found to be reproducible across the three software, with lower bounds of 95% confidence intervals (CIs) of ICCs greater than 0.75. Our results verify the compliance of SPAARCHero with IBSI standard for Radiomics feature extraction.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Engineering |
| Publisher: | Cardiff University Press |
| ISBN: | 9781911653516 |
| Date of First Compliant Deposit: | 4 July 2025 |
| Last Modified: | 08 Jul 2025 10:00 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/179551 |
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