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A New CT Prostate Segmentation for CT-Based HDR Brachytherapy.

Xiaofeng Yang1, Peter Rossi1, Tomi Ogunleye1

  • 1Department of Radiation Oncology, Winship Cancer Institute, Emory University, Atlanta, GA 30322.

Proceedings of Spie--The International Society for Optical Engineering
|March 31, 2015
PubMed
Summary

This study introduces a new method for segmenting prostate cancer in CT scans using ultrasound-CT registration, improving accuracy for high-dose-rate brachytherapy planning and treatment outcomes.

Keywords:
CTHDRProstatebrachytherapysegmentationtransrectal ultrasound (TRUS)ultrasound-guided

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Area of Science:

  • Medical Imaging
  • Radiation Oncology
  • Image Registration

Background:

  • High-dose-rate (HDR) brachytherapy is a common treatment for localized prostate cancer.
  • Accurate prostate segmentation in CT images is challenging due to poor soft tissue contrast and catheter artifacts.
  • Current CT-based planning for HDR brachytherapy faces limitations in precise prostate delineation.

Purpose of the Study:

  • To develop and validate a novel approach for segmenting prostate volume in CT images for HDR brachytherapy.
  • To improve the accuracy of prostate delineation by utilizing transrectal ultrasound (TRUS)-CT deformable registration based on catheter locations.
  • To enhance the precision of dose planning and delivery in prostate HDR brachytherapy.

Main Methods:

  • Proposed a novel TRUS-CT deformable registration method using reconstructed HDR catheter locations as landmarks.
  • Utilized prostate contours from intra-operative TRUS images for segmentation on planning CT images.
  • Validated the method through a prostate phantom study and a pilot study involving 5 prostate cancer patients with implanted gold markers and MRI as the gold standard.

Main Results:

  • Prostate phantom study demonstrated submillimeter accuracy.
  • In patient studies, mean gold marker displacement was 1.2 mm.
  • Achieved a mean prostate volume difference of 7.2% compared to MRI, with a Dice volume overlap exceeding 91%.

Conclusions:

  • The proposed TRUS-CT deformable registration method significantly improves prostate delineation accuracy in CT images.
  • This technique enables more precise dose planning and delivery for HDR brachytherapy.
  • The enhanced accuracy has the potential to improve overall treatment outcomes for prostate cancer patients undergoing HDR brachytherapy.