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Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics
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A Comprehensive Evaluation of Radiomic Features in Normal Brain Magnetic Resonance Imaging: Investigating Robustness

Mahsa Shakeri1,2, Ahmad Mostaar3, Arash Zare Sadeghi4

  • 1Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.

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Summary

This study establishes baseline radiomic feature values in healthy brain MRI, revealing that T2 sequences and specific regions like the thalamus offer the most repeatable results for texture analysis.

Keywords:
Brainmagnetic resonance imagingradiomic featuresrepeatablerobust

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Area of Science:

  • Neuroimaging
  • Radiomics
  • Biomedical Engineering

Background:

  • Limited research exists on radiomic feature distribution in healthy brain magnetic resonance imaging (MRI).
  • Understanding baseline radiomic features in normal brain tissue is crucial for accurate disease detection and monitoring.
  • This study addresses the gap by investigating radiomic feature robustness in healthy brain regions.

Purpose of the Study:

  • To establish baseline values for radiomic features in healthy brain MRI.
  • To assess the robustness and repeatability of radiomic features across different brain regions and MRI sequences.
  • To identify factors influencing radiomic feature stability for future neuroimaging studies.

Main Methods:

  • Analysis of T1 and T2 MRI scans from 276 healthy brains across three scanners.
  • Segmentation into 1024 3D patches, with specific volumes of interest (VOIs) selected (thalamus, putamen, hippocampus, brain stem).
  • Generation of 85 radiomic features and assessment of variability using ANOVA, coefficient of variation (COV), and intraclass correlation coefficient (ICC).

Main Results:

  • Thalamus (right/left) and left hippocampus showed stable features (COV ≤ 6%) in T1 and T2 images, respectively.
  • T2 sequences demonstrated higher repeatability, with brain stem and thalamus exhibiting particularly high ICC values.
  • Robust results (ICC ≥ 0.9) were found for energy, range, and several texture features across regions.

Conclusions:

  • Established baselines for repeatable texture features in healthy brain structural MRI, emphasizing inter-scanner stability.
  • MRI sequencing and VOI location significantly impact feature robustness and must be considered in brain radiomic studies.
  • Provides foundational data for developing reliable radiomic biomarkers in neurological research.