Investigating the Propagation of CT Acquisition Artifacts along the Medical Imaging Pipeline

Jakob Peischl, Renata Raidou

2025

Abstract

We propose a framework to support the simulation, exploration, and analysis of uncertainty propagation in the medical imaging pipeline—exemplified with artifacts arising during CT acquisition. Uncertainty in the acquired data can affect multiple subsequent stages of the medical imaging pipeline, as artifacts propagate and accumulate along the latter, influencing the diagnostic power of CT and potentially introducing biases in eventual decision-making processes. We designed and developed an interactive visual analytics framework that simulates real-world CT artifacts using mathematical models, and empowers users to manipulate parameters and observe their effects on segmentation outcomes. By extracting radiomics features from artifact-affected segmented images and analyzing them using dimensionality reduction, we uncover distinct patterns related to individual artifacts or combinations thereof. We demonstrate our proposed framework on use cases simulating the effects of individual and combined artifacts on segmentation outcomes. Our application supports the effective and flexible exploration and analysis of the impact of uncertainties on the outcomes of the medical imaging pipeline. Initial insights into the nature and patterns of the simulated artifacts could also be derived.

Paper Citation

in Harvard Style

Peischl J. and Raidou R. (2025). Investigating the Propagation of CT Acquisition Artifacts along the Medical Imaging Pipeline. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: IVAPP; ISBN 978-989-758-728-3, SciTePress, pages 752-764. DOI: 10.5220/0013254200003912

in Bibtex Style

@conference{ivapp25,
author={Jakob Peischl and Renata Raidou},
title={Investigating the Propagation of CT Acquisition Artifacts along the Medical Imaging Pipeline},
booktitle={Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: IVAPP},
year={2025},
pages={752-764},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013254200003912},
isbn={978-989-758-728-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: IVAPP
TI - Investigating the Propagation of CT Acquisition Artifacts along the Medical Imaging Pipeline
SN - 978-989-758-728-3
AU - Peischl J.
AU - Raidou R.
PY - 2025
SP - 752
EP - 764
DO - 10.5220/0013254200003912
PB - SciTePress