Paper
15 March 2013 Marker detection evaluation by phantom and cadaver experiments for C-arm pose estimation pattern
Teena Steger, Martin Hoßbach, Stefan Wesarg
Author Affiliations +
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 imaging 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 × 1024 px images could be achieved.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Teena Steger, Martin Hoßbach, and Stefan Wesarg "Marker detection evaluation by phantom and cadaver experiments for C-arm pose estimation pattern", Proc. SPIE 8671, Medical Imaging 2013: Image-Guided Procedures, Robotic Interventions, and Modeling, 86711V (15 March 2013); https://doi.org/10.1117/12.2007994
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CITATIONS
Cited by 4 scholarly publications and 3 patents.
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KEYWORDS
Cameras

Optical spheres

Image segmentation

Image registration

3D image processing

Bronchoscopy

Calibration

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