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Segmentation of surgical needles for fluoroscopy servoing using the insight software toolkit (ITK)

Kevin Cleary, Luis Ibáñez, Nassir Navab, Dan Stoianovici, Alexandru Patriciu, Gabriela Corral

Year
2003
Citations
9

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.

Keywords

FluoroscopySegmentationVisual servoingComputer scienceSoftwareMedical roboticsImage segmentationComputer visionDomain (mathematical analysis)Artificial intelligence

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