articleMedical PhysicsJan 23, 2017GREEN OA

Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels

MSMuhammad Shafiq‐ul‐HassanGZGeoffrey ZhangKLKujtim LatifiGUGhanim UllahDHDylan Hunt

University of South Florida · Moffitt Cancer Center · +1 more institution

PubMed
Indexed incrossrefpubmed

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…

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575
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100%
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Authors

13

Topics & keywords

Keywords
  • Imaging phantom
  • Pixel
  • Voxel
  • Artificial intelligence
  • Computer science
  • Computer vision
  • Iterative reconstruction
  • Materials science
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