Deep learning-based ultrasound auto-segmentation of the prostate with brachytherapy implanted needles.

Journal: Medical physics
Published Date: Oct 27, 2023

Abstract

BACKGROUND: Accurate segmentation of the clinical target volume (CTV) corresponding to the prostate with or without proximal seminal vesicles is required on transrectal ultrasound (TRUS) images during prostate brachytherapy procedures. Implanted needles cause artifacts that may make this task difficult and time-consuming. Thus, previous studies have focused on the simpler problem of segmentation in the absence of needles at the cost of reduced clinical utility.

Authors

  • Prakash Hampole
    Department of Medical Biophysics, Western University, London, ON, Canada.
  • Thomas Harding
    Department of Oncology, London Health Sciences Centre, London, ON, Canada.
  • Derek Gillies
    Department of Oncology, London Health Sciences Centre, London, ON, Canada.
  • Nathan Orlando
    Department of Medical Biophysics, Western University, London, ON, N6A 3K7, Canada.
  • Chandima Edirisinghe
    Robarts Research Institute, Western University, London, ON, Canada.
  • Lucas C Mendez
    Department of Oncology, Division of Radiation Oncology, London Health Sciences Centre and Western University, London, ON, Canada.
  • David D'Souza
    London Health Sciences Centre, London, ON, N6A 5W9, Canada.
  • Vikram Velker
    Department of Oncology, London Health Sciences Centre, London, ON, Canada.
  • Rohann Correa
    Department of Oncology, London Health Sciences Centre, London, ON, Canada.
  • Joelle Helou
    Department of Radiation Oncology, Odette Cancer Center, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
  • Shuwei Xing
    Robarts Research Institute, Western University, London, ON, Canada.
  • Aaron Fenster
    Imaging Research Laboratories, Robarts Research Institute, 100 Perth Drive, London, Ontario N6A 5K8, Canada.
  • Douglas A Hoover
    Department of Medical Biophysics, Western University, London, Ontario N6A 3K7, Canada.

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