Enhancing the stability of CT radiomics across different volume of interest sizes using parametric feature maps: a phantom study.

Laura Jacqueline JensenDamon KimThomas ElgetiIngo G SteffenLars-Arne SchaafsBernd HammSebastian N Nagel

Published in: European radiology experimental (2022)

This phantom study shows that converting CT images into parametric maps resolves the confounding effect of VOI variability and increases feature reproducibility across VOI sizes.

Keyphrases

image quality
dual energy
deep learning
computed tomography
machine learning
contrast enhanced
magnetic resonance
squamous cell carcinoma
positron emission tomography