Machine learning and registration for automatic seed localization in 3D US images for prostate brachytherapy.

Journal: Medical physics
Published Date:

Abstract

PURPOSE: New radiation therapy protocols, in particular adaptive, focal or boost brachytherapy treatments, require determining precisely the position and orientation of the implanted radioactive seeds from real-time ultrasound (US) images. This is necessary to compare them to the planned one and to adjust automatically the dosimetric plan accordingly for next seeds implantations. The image modality, the small size of the seeds, and the artifacts they produce make it a very challenging problem. The objective of the presented work is to setup and to evaluate a robust and automatic method for seed localization in three-dimensional (3D) US images.

Authors

  • Hatem Younes
    University of Grenoble Alpes, CNRS, TIMC-IMAG, F-38000, Grenoble, France.
  • Jocelyne Troccaz
  • Sandrine Voros