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Updated: Mar 30, 2026

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AUTOMATIC SEGMENTATION OF PELVIS FOR BRACHYTHERAPY OF PROSTATE.

M Kardell1, M Magnusson2, M Sandborg1

  • 1Medical Radiation Physics, Department of Medical and Health Sciences and Center for Medical Image Science and Visualisation, Linköping University, SE-58185 Linköping, Sweden.

Radiation Protection Dosimetry
|November 15, 2015
PubMed
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This summary is machine-generated.

A new algorithm (MK2014) automatically segments male pelvic tissues in CT scans, improving accuracy for radiation treatment planning. This method enhances image quality and precision in prostate brachytherapy.

Area of Science:

  • Medical Imaging
  • Computational Anatomy
  • Radiation Oncology

Background:

  • Advanced quantitative computed tomography (CT) uses model-based iterative reconstruction for tissue segmentation and material property estimation.
  • Accurate tissue segmentation is crucial for improving image quality and radiation treatment planning, but remains a challenging task.

Purpose of the Study:

  • To develop and evaluate an automated algorithm for segmenting tissues in male pelvic CT images.
  • To assess the algorithm's suitability for enhancing dual-energy iterative reconstruction in prostate brachytherapy.

Main Methods:

  • The MK2014 algorithm integrates histogram matching, thresholding, region growing, deformable models, and atlas-based registration.
  • Segmentation targets included bones, adipose tissue, prostate, and muscles within CT images of the male pelvis.

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Main Results:

  • Visual inspection confirmed the MK2014 algorithm performed well on five analyzed CT images.
  • The algorithm accurately identified and outlined pelvic tissues, meeting requirements for subsequent reconstruction algorithms.

Conclusions:

  • The developed MK2014 algorithm provides accurate automatic tissue segmentation in male pelvic CT scans.
  • This automated segmentation is sufficient for improving radiation treatment planning accuracy in prostate brachytherapy.