Integrating Radiomic Image Analysis in the Hero Imaging Platform

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.

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Publication Details

Published
2024-11-18
DOI
https://doi.org/10.18573/conf3.g
Citations
1
Primary Topic
Advanced X-ray and CT Imaging
Type
article
Field-Weighted Citation Impact
0.18

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article

Integrating Radiomic Image Analysis in the Hero Imaging Platform

Emiliano Spezi, Patrik Brynolfsson, Prosper Oyibo
1 citations
Advanced X-ray and CT Imaging
0.18
article

Integrating Radiomic Image Analysis in the Hero Imaging Platform

Emiliano Spezi, Patrik Brynolfsson, Prosper Oyibo
article en
1 citations

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.

Engineering and Physical Sciences Research Council
Openalex Percentile: Top 51%
Advanced X-ray and CT Imaging
0.18
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