Feasibility of Image Registration for Ultrasound-Guided Prostate Radiotherapy Based on Similarity Measurement by a Convolutional Neural Network.

Journal: Technology in cancer research & treatment
Published Date: Jan 1, 2019

Abstract

PURPOSE: Registration of 3-dimensional ultrasound images poses a challenge for ultrasound-guided radiation therapy of the prostate since ultrasound image content changes significantly with anatomic motion and ultrasound probe position. The purpose of this work is to investigate the feasibility of using a pretrained deep convolutional neural network for similarity measurement in image registration of 3-dimensional transperineal ultrasound prostate images.

Authors

  • Ning Zhu
    1 Google, Santa Clara County, CA, USA.
  • Mohammad Najafi
  • Bin Han
    2 Department of Radiation Oncology, Stanford University, Stanford, CA, USA.
  • Steven Hancock
    2 Department of Radiation Oncology, Stanford University, Stanford, CA, USA.
  • Dimitre Hristov
    Department of Radiation Oncology, School of Medicine, Stanford University, Stanford, California 94305.

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