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  4. Marker detection evaluation by phantom and cadaver experiments for C-arm pose estimation pattern
 
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2013
Conference Paper
Title

Marker detection evaluation by phantom and cadaver experiments for C-arm pose estimation pattern

Abstract
C-arm fluoroscopy is used for guidance during several clinical exams, e.g. in bronchoscopy to locate the bronchoscope inside the airways. Unfortunately, these images provide only 2D information. However, if the C-arm pose is known, it can be used to overlay the intrainterventional fluoroscopy images with 3D visualizations of airways, acquired from preinterventional CT images. Thus, the physician's view is enhanced and localization of the instrument at the correct position inside the bronchial tree is facilitated. We present a novel method for C-arm pose estimation introducing a marker-based pattern, which is placed on the patient table. The steel markers form a pattern, allowing to deduce the C-arm pose by use of the projective invariant cross-ratio. Simulations show that the C-arm pose estimation is reliable and accurate for translations inside an imaging area of 30 cm x 50 cm and rotations up to 30°. Mean error values are 0:33 mm in 3D space and 0:48 px in the 2D imag ing plane. First tests on C-arm images resulted in similarly compelling accuracy values and high reliability in an imaging area of 30 cm x 42:5 cm. Even in the presence of interfering structures, tested both with anatomy phantoms and a turkey cadaver, high success rates over 90% and fully satisfying execution times below 4 sec for 1024 px x 1024 px images could be achieved.
Author(s)
Steger, Teena
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Hoßbach, Martin
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Wesarg, Stefan  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Mainwork
Medical imaging 2013. Image-guided procedures, robotic interventions, and modeling  
Conference
Image-Guided Procedures, Robotic Interventions, and Modeling Conference 2013  
DOI
10.1117/12.2007994
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • pose estimation

  • C-arm pose

  • fluoroscopy

  • marker segmentation

  • experiments

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