Work

Integrating Radiomic Image Analysis in the Hero Imaging Platform

Year: 2024

Type: conference-paper

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.

DOI: 10.18573/conf3.g

Authors: P Oyibo, P Brynolfsson, E Spezi

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Funder: Engineering and Physical Sciences Research Council

OpenAlex ID: W4404502453

FWCI: 3.237

Cites:

Cited by: 2

Related to: 10