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Prostate Brachytherapy Seed Localization with Gaussian Blurring and Camera Self-calibration

  • Junghoon Lee
  • Xiaofeng Liu
  • Jerry L. Prince
  • Gabor Fichtinger
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5242)

Abstract

A tomosynthesis-based prostate brachytherapy seed localization method is described. Gaussian-blurred images are computed from a limited number of X-ray images, and a 3-D volume is reconstructed by backprojection. Candidate seed locations are extracted from the reconstructed volume and false positive seeds are removed by optimizing a local cost function. In case where the estimated pose error is large, a self-calibration process corrects the estimation error of the intrinsic camera parameters and the translation of the pose in order to improve the reconstruction. Simulation and phantom experiment results imply that the implanted seed locations can be estimated from four or five images depending on the number of seeds. The algorithm was also validated using patient data, successfully localizing the implanted seeds.

Keywords

Projection Image Seed Region Seed Removal Prostate Brachytherapy True Seed 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Junghoon Lee
    • 1
  • Xiaofeng Liu
    • 2
  • Jerry L. Prince
    • 1
  • Gabor Fichtinger
    • 2
    • 3
  1. 1.Department of Electrical and Computer EngineeringUSA
  2. 2.Computer ScienceJohns Hopkins UniversityBaltimoreUSA
  3. 3.School of ComputingQueen’s UniversityCanada

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