Convolution neural networks for real-time needle detection and localization in 2D ultrasound.

Journal: International journal of computer assisted radiology and surgery
PMID: 29512006

Abstract

PURPOSE: We propose a framework for automatic and accurate detection of steeply inserted needles in 2D ultrasound data using convolution neural networks. We demonstrate its application in needle trajectory estimation and tip localization.

Authors

  • Cosmas Mwikirize
    Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, 08854, USA. cosmas.mwikirize@rutgers.edu.
  • John L Nosher
    Department of Radiology, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, 08901, USA.
  • Ilker Hacihaliloglu
    Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, 08854, USA.

Keywords

External Resources

Popular Topics
Recent Journals