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Related Experiment Video

Updated: May 1, 2026

Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images
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Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images

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[Target volume segmentation of PET images by an iterative method based on threshold value].

P Castro1, C Huerga2, L A Glaría3

  • 1Servicio de Radiofísica y Protección Radiológica, Hospital Universitario Puerta de Hierro-Majadahonda, Majadahonda, Madrid, España.

Revista Espanola De Medicina Nuclear E Imagen Molecular
|April 8, 2014
PubMed
Summary

This study introduces an automatic PET image segmentation method for tumor radiotherapy. The novel approach accurately delineates lesions, improving treatment planning with high precision.

Keywords:
Contorneo del volumen tumoralIterative methodMétodo iterativoPETSegmentaciónSegmentationTarget volume delineationThresholdingUmbral

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Area of Science:

  • Medical Imaging
  • Radiotherapy
  • Image Segmentation

Background:

  • Accurate tumor delineation is crucial for effective radiotherapy.
  • Current PET image segmentation methods can be limited by lesion size and background noise.

Purpose of the Study:

  • To develop and validate an automatic segmentation method for PET images.
  • To incorporate lesion size and background influence into the segmentation process.

Main Methods:

  • Developed an iterative thresholding method based on PET phantom studies.
  • Normalized optimal threshold values to background and adjusted using regression analysis.
  • Validated the method on phantom data and retrospectively on oncology patient scans.

Main Results:

  • The segmentation method showed linear dependence with signal-to-background ratio (SBR) and inverse proportionality with lesion volume.
  • Volume deviations were under 10% compared to real and CT volumes for lesions > 0.6 ml.

Conclusions:

  • The proposed automatic segmentation method is simple, reliable, and suitable for clinical radiotherapy treatment planning.
  • Achieves precision close to the resolution limits of PET imaging.