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Related Experiment Video

Updated: Mar 2, 2026

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SU-E-J-111: Compute the Optimal Threshold for PET Functional Volume Delineation.

S Tan1,2, W Chen1,2, W D'Souza1,2

  • 1Huazhong University of Science and Technology, Wuhan, China.

Medical Physics
|May 19, 2017
PubMed
Summary

This study introduces a novel method to calculate the optimal threshold (OT) directly from PET images for accurate functional volume delineation. This approach eliminates the need for prior scanner, protocol, or tumor size information, simplifying PET image analysis.

Keywords:
Acoustic noise measurementBiomedical modelingCancerComputer simulationImage analysisImage scannersMedical image noiseMedical imagingPhotoelectric conversionPositron emission tomography

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Area of Science:

  • Medical Imaging
  • Image Analysis
  • Quantitative PET

Background:

  • Partial Volume Effect (PVE) in PET imaging complicates accurate volume delineation.
  • Existing methods often require scanner-specific parameters or tumor size information.
  • Functional volume delineation is crucial for accurate disease assessment.

Purpose of the Study:

  • To develop a method for computing the optimal threshold (OT) directly from PET images.
  • To enable functional volume delineation without a priori information on scanners, protocols, or tumor size.

Main Methods:

  • Analyzed a mathematical model for PVE in spherical objects with Gaussian Point Spread Function (PSF).
  • Introduced the Optimal Area Ratio (OAR) concept to recover PSF and tumor size information from PET images.
  • Utilized the dynamic behavior of a region-growing algorithm across thresholds [0,1] to determine OT.
  • Validated the method through computer simulations and phantom experiments with varying object sizes and noise levels.

Main Results:

  • Computer simulations demonstrated exact calculation of the real OT.
  • Phantom experiments yielded visually satisfactory functional volume delineation using the calculated OT.
  • The method successfully recovered embedded information about PSF and tumor size.

Conclusions:

  • The developed method allows for OT calculation directly from PET images, independent of external information.
  • Theoretical analysis and experimental validation confirm the efficacy of the approach for PET functional volume delineation.
  • This method simplifies and enhances the accuracy of PET-based volume measurements.