TU Darmstadt / ULB / TUbiblio

Marker Detection Evaluation by Phantom and Cadaver Experiments for C-arm Pose Estimation Pattern

Steger, Teena ; Hoßbach, Martin ; Wesarg, Stefan (2013)
Marker Detection Evaluation by Phantom and Cadaver Experiments for C-arm Pose Estimation Pattern.
Medical Imaging 2013: Image-Guided Procedures, Robotic Interventions, and Modeling.
doi: 10.1117/12.2007994
Conference or Workshop Item, Bibliographie

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.

Item Type: Conference or Workshop Item
Erschienen: 2013
Creators: Steger, Teena ; Hoßbach, Martin ; Wesarg, Stefan
Type of entry: Bibliographie
Title: Marker Detection Evaluation by Phantom and Cadaver Experiments for C-arm Pose Estimation Pattern
Language: English
Date: 2013
Publisher: SPIE Press, Bellingham
Series: Proceedings of SPIE; 8671
Event Title: Medical Imaging 2013: Image-Guided Procedures, Robotic Interventions, and Modeling
DOI: 10.1117/12.2007994
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.

Uncontrolled Keywords: Business Field: Visual decision support, Pose estimation, C-arm pose, Fluoroscopy, Marker segmentation, Experiments, Bronchoscopy
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Date Deposited: 12 Nov 2018 11:16
Last Modified: 12 Nov 2018 11:16
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Send an inquiry Send an inquiry

Options (only for editors)
Show editorial Details Show editorial Details