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Positron Emission Tomography (PET) is a medical imaging technique that provides crucial insights into the body's physiological functions at a molecular level. It is an indispensable resource for diagnosing, staging, and monitoring various illnesses, notably cancer, neurological disorders, and cardiovascular conditions.
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Related Experiment Video

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Functional Imaging of Brown Fat in Mice with 18F-FDG micro-PET/CT
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Texture Feature Comparison Between Step-and-Shoot and Continuous-Bed-Motion 18F-FDG PET.

Shozo Yamashita1, Koichi Okuda2, Tetsu Nakaichi3

  • 1Division of Radiology, Public Central Hospital of Matto Ishikawa, Ishikawa, Japan y.shozo57@gmail.com.

Journal of Nuclear Medicine Technology
|October 6, 2020
PubMed
Summary

Texture analysis in PET imaging reveals that entropy, a specific feature from the gray-level cooccurrence matrix, shows minimal differences between step-and-shoot and continuous-bed-motion techniques, suggesting its utility for harmonizing imaging protocols.

Keywords:
continuous bed motionresamplingsphere sizestep-and-shoottexture feature

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Area of Science:

  • Nuclear Medicine
  • Medical Imaging
  • Radiomics

Background:

  • Step-and-shoot (SS) and continuous-bed-motion (CBM) are two common positron emission tomography (PET) imaging techniques.
  • Differences in texture features between SS and CBM imaging may affect quantitative analysis and diagnostic accuracy.
  • Standardizing texture feature extraction across different acquisition modes is crucial for reliable radiomic studies.

Purpose of the Study:

  • To investigate and compare texture feature differences between SS and CBM PET imaging.
  • To identify texture features that demonstrate minimal variability between SS and CBM acquisitions.
  • To evaluate the potential of specific texture features for harmonizing imaging protocols.

Main Methods:

  • Phantom studies using an 18F-FDG NEMA body phantom and clinical studies involving 27 lesions from 20 patients.
  • Texture features were extracted using LIFEx software, employing gray-level cooccurrence matrix (GLCM) and other methods.
  • Voxel intensities were discretized using fixed bin size and fixed bin number methods (64 and 128 bins), with comparisons using paired t-tests and coefficient of variation.

Main Results:

  • In phantom studies, 11 texture features showed no significant difference between SS and CBM, with coefficients of variation ≤10%.
  • GLCM-derived entropy and dissimilarity demonstrated consistent results across all settings in both phantom and clinical studies.
  • Clinical data showed low percentage difference and excellent correlation for entropy and dissimilarity, with entropy exhibiting lower differences.

Conclusions:

  • Texture feature differences between SS and CBM imaging are feature-dependent.
  • GLCM entropy is identified as a robust texture feature with minimal differences between SS and CBM imaging, regardless of resampling conditions.
  • Entropy is proposed as an optimal feature for reducing inter-technique variability in PET radiomics.