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Reliability of CT-based texture features: Phantom study.

Bino A Varghese1, Darryl Hwang1, Steven Y Cen1

  • 1Dept. of Radiology, Univ. of Southern California, Los Angeles, CA, USA.

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|June 22, 2019
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Summary
This summary is machine-generated.

This study identified reliable computed tomography texture analysis (CTTA) metrics for abdominal imaging. Entropy-based metrics using Fast Fourier Transform showed the most consistency across scanners and parameters, aiding multicenter studies.

Keywords:
computed tomographyimagingphantom studyreliabilitytexture analysis

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Area of Science:

  • Radiology
  • Medical Imaging
  • Quantitative Imaging

Background:

  • Computed Tomography Texture Analysis (CTTA) offers quantitative insights into tissue characteristics.
  • Variability in CTTA metrics across different scanners and protocols can limit multicenter studies.
  • Standardization of reliable CTTA metrics is crucial for clinical translation.

Purpose of the Study:

  • To assess the intra-, inter-, and test-retest variability of CTTA metrics.
  • To identify robust and reproducible CTTA metrics for abdominal imaging.
  • To evaluate the impact of imaging parameters on CTTA reliability.

Main Methods:

  • A texture phantom with varying textures was scanned on two CT scanners (Philips Brilliance 64, Toshiba Aquilion Prime 160).
  • CTTA metrics were evaluated across various imaging parameters (slice thickness, kVp, mAs, etc.).
  • Repeatability, robustness, and reproducibility of 235 texture metrics were assessed using multiple quantification techniques.

Main Results:

  • CTTA metric reliability varied significantly with scanner and scanning parameters.
  • Entropy-based metrics derived from Fast Fourier Transform demonstrated the highest reliability across conditions.
  • Image post-processing techniques significantly influenced radiomic reliability, especially those reducing noise while preserving edges.

Conclusions:

  • Identification of reliable CTTA metrics is essential for large-scale, multicenter CTTA studies.
  • Standardized CTTA metrics can enable analysis of diverse imaging datasets from different protocols and scanners.
  • Further validation is needed to confirm the clinical utility of identified reliable CTTA metrics.