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

ABSTRACT:

Background

In radiomics studies, differences in the volume of interest (VOI) are often inevitable and may confound the extracted features. We aimed to correct this confounding effect of VOI variability by applying parametric maps with a fixed voxel size.

Methods

Ten scans of a cup filled with sodium chloride solution were scanned using a multislice computed tomography (CT) unit. Sphere-shaped VOIs with different diameters (4, 8, or 16 mm) were drawn centrally into the phantom. A total of 93 features were extracted conventionally from the original images using PyRadiomics. Using a self-designed and pretested software tool, parametric maps for the same 93 features with a fixed voxel size of 4 mm³ were created. To retrieve the feature values from the maps, VOIs were

SUBMITTER: Jensen LJ 

PROVIDER: S-EPMC9474978 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature