The assessment of tissues depicted in medical images using radiomics has been shown to depend on a number of imageacquisition and reconstruction parameters. This study assessed the variability in radiomics features due to variations in iDose<sup>4</sup> reconstruction level. A database of 109 normal head and neck (HN) computed tomography (CT) scans was obtained for analysis with three levels of iDose<sup>4</sup> reconstruction: 2, 4, and 6. Various two-dimensional regions of interest (ROIs) containing different tissues were manually contoured including the globes, sternocleidomastoid muscle (SCM), thyroid, clivus, and supraclavicular subcutaneous fat. A square ROI containing only air was also contoured. Each region was contoured at its largest axial cross section by area. Pixel information was extracted from each region in each patient for each iDose<sup>4</sup> reconstruction, and 142 texture features were calculated using an in-house texture package. Differences in radiomics features between iDose<sup>4</sup> levels were assessed using parametric paired Student’s t-tests or non-parametric Wilcoxon signed-rank tests for each tissue type after assessing normality using the Shapiro-Wilk test. Relative agreement among iDose<sup>4</sup> reconstructions was quantified using the Spearman’s rank correlation coefficient. For all ROIs besides those containing only air, most features differed significantly between pairwise combinations of the three iDose<sup>4</sup> levels. For air, all features were robust to differences in iDose<sup>4</sup> levels. Therefore, if radiomics studies include images reconstructed using different iDose<sup>4</sup> levels, robust radiomics features should be used. Additionally, to aid in the validation of radiomics research, iDose<sup>4</sup> reconstruction levels should be reported.