Time-aware deep neural networks for needle tip localization in 2D ultrasound.

Journal: International journal of computer assisted radiology and surgery
Published Date: Apr 11, 2021

Abstract

PURPOSE: Accurate placement of the needle is critical in interventions like biopsies and regional anesthesia, during which incorrect needle insertion can lead to procedure failure and complications. Therefore, ultrasound guidance is widely used to improve needle placement accuracy. However, at steep and deep insertions, the visibility of the needle is lost. Computational methods for automatic needle tip localization could improve the clinical success rate in these scenarios.

Authors

  • Cosmas Mwikirize
    Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, 08854, USA. cosmas.mwikirize@rutgers.edu.
  • Alvin B Kimbowa
    Department of Electrical and Computer Engineering, Makerere University, Kampala, Uganda.
  • Sylvia Imanirakiza
    Department of Electrical and Computer Engineering, Makerere University, Kampala, Uganda.
  • Andrew Katumba
    Department of Electrical and Computer Engineering, Makerere University, Kampala, Uganda.
  • 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.

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