Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels
University of South Florida · Moffitt Cancer Center · +1 more institution
Abstract
Purpose Many radiomics features were originally developed for non‐medical imaging applications and therefore original assumptions may need to be reexamined. In this study, we investigated the impact of slice thickness and pixel spacing (or pixel size) on radiomics features extracted from Computed Tomography ( CT ) phantom images acquired with different scanners as well as different acquisition and reconstruction parameters. The dependence of CT texture features on gray‐level discretization was also evaluated. Methods and materials A texture phantom composed of 10 different cartridges of different materials was scanned on eight different CT scanners from three different manufacturers. The images were…
Citation impact
- FWCI
- 41.88
- Percentile
- 100%
- References
- 40
Authors
13- MSMuhammad Shafiq‐ul‐Hassan
University of South Florida, Moffitt Cancer Center
- GZGeoffrey Zhang
University of South Florida, Moffitt Cancer Center
- KLKujtim Latifi
University of South Florida, Moffitt Cancer Center
- GUGhanim Ullah
University of South Florida
- DHDylan Hunt
Moffitt Cancer Center
Topics & keywords
- Imaging phantom
- Pixel
- Voxel
- Artificial intelligence
- Computer science
- Computer vision
- Iterative reconstruction
- Materials science