Segmentation of Surgical Needles for Fluoroscopy Servoing Using the Insight Software Toolkit (ITK)

Kevin Cleary, Luis Ibanez, Nassir Navab, Dan Stoianovici, Alexandra Patriciu, Gabriela Corral

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper presents recent work in segmenting surgical needles as seen under x-ray fluoroscopy. This work is part of developing a system for automatically aligning a surgical needle during minimally invasive interventions. The system incorporates a six degree-of-freedom robotic needle driver that is specifically designed for medical applications. The needle is segmented using methods from the Insight Software Toolkit (ITK), which provides a public domain and open source implementation of state-of-the-art registration and segmentation algorithms.

Original languageEnglish (US)
Pages (from-to)698-701
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume1
StatePublished - 2003
EventA New Beginning for Human Health: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Cancun, Mexico
Duration: Sep 17 2003Sep 21 2003

Keywords

  • Fluoroscopy servoing
  • Robotics
  • Segmentation

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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