Enhancement of instrumented ultrasonic tracking images using deep learning.

Journal: International journal of computer assisted radiology and surgery
PMID: 36057759

Abstract

PURPOSE: Instrumented ultrasonic tracking provides needle localisation during ultrasound-guided minimally invasive percutaneous procedures. Here, a post-processing framework based on a convolutional neural network (CNN) is proposed to improve the spatial resolution of ultrasonic tracking images.

Authors

  • Efthymios Maneas
  • Andreas Hauptmann
  • Erwin J Alles
  • Wenfeng Xia
  • Sacha Noimark
    Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, W1W 7TY, UK.
  • Anna L David
  • Simon Arridge
  • Adrien E Desjardins

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