Computational Detection of Latent Quantitative Instability In Daily CBCT Using a Multi‑Material Phantom and Radiomic Variance Analysis
To deploy a fully automated, Python-based analysis pipeline for evaluating short-term quantitative stability in Elekta CBCT, using a multi-material density phantom to uncover HU fidelity drift that is undetected by conventional QA.
Poster Program · Therapy Physics