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Quantitative variations in texture analysis features dependent on MRI scanning parameters: A phantom model.

Karen Buch1, Hirofumi Kuno1,2, Muhammad M Qureshi3

  • 1Department of Radiology, Boston Medical Center, Boston University School of Medicine, Boston, MA, USA.

Journal of Applied Clinical Medical Physics
|October 29, 2018
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Summary
This summary is machine-generated.

MRI scanning parameters significantly impact texture analysis features. Standardizing magnetic resonance imaging (MRI) techniques is crucial for consistent and reliable results in texture analysis.

Keywords:
phantomquantitative MRItexture analysis

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Area of Science:

  • Medical Imaging
  • Radiology
  • Image Analysis

Background:

  • Texture analysis quantifies image heterogeneity.
  • Magnetic resonance imaging (MRI) parameters can influence image texture.
  • Standardization is needed for reproducible texture analysis in MRI.

Purpose of the Study:

  • To investigate how various MRI scanning parameters affect texture analysis features.
  • To identify which MRI parameters cause significant changes in texture metrics.

Main Methods:

  • Utilized publicly available MRI data from the RIDER project.
  • Analyzed MRIs of a phantom using different magnet strengths, flip angles, and number of excitations (NEX).
  • Extracted 41 texture features using an in-house program and compared them across parameter variations.

Main Results:

  • Significant differences in histogram, gray-level co-occurrence matrix (GLCM), and gray-level run-length (GLRL) features were observed.
  • Variations in NEX and scanner platform notably affected histogram and GLCM features.
  • Magnet strength and NEX influenced GLRL features, highlighting parameter sensitivity.

Conclusions:

  • MRI acquisition parameters significantly alter texture analysis features.
  • The findings underscore the necessity for standardized MRI protocols to ensure reliable texture quantification.