The impact of respiratory motion and CT pitch on the robustness of radiomics feature extraction in 4DCT lung imaging.

Purpose/objective(s): The precise radiomics analysis on thoracic 4DCT data is easily compromised by the respiratory motion and CT scan parameter setting, thus leading to the risk of overfitting and/or misinterpretation of data in AI-enabled therapeutic model building. In this study, we investigated the impact of respiratory amplitudes, frequencies and CT scan pitch settings within the thoracic 4DCT scan on robust radiomics feature selection.

Materials/methods: A Three-dimensional QUSAR lung tumor phantom was used to simulate different respiratory amplitudes and frequencies along with different CT scan pitch settings.