Integrating Radiomic Image Analysis in the Hero Imaging Platform
P. Oyibo, P. Brynolfsson, E. Spezi
Chapter from the book: Spezi E. & Bray M. 2024. Proceedings of the Cardiff University School of Engineering Research Conference 2024.
Chapter from the book: Spezi E. & Bray M. 2024. Proceedings of the Cardiff University School of Engineering Research Conference 2024.
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.
Oyibo, P et al. 2024. Integrating Radiomic Image Analysis in the Hero Imaging Platform. In: Spezi E. & Bray M (eds.), Proceedings of the Cardiff University School of Engineering Research Conference 2024. Cardiff: Cardiff University Press. DOI: https://doi.org/10.18573/conf3.g
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Published on Nov. 18, 2024