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Quantitative Analysis of Marker Segmentation for C-Arm Pose Based Navigation

Steger, Teena ; Wesarg, Stefan (2014)
Quantitative Analysis of Marker Segmentation for C-Arm Pose Based Navigation.
XIII Mediterranean Conference on Medical and Biological Engineering and Computing.
doi: 10.1007/978-3-319-00846-2_121
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Intraoperative C-arm fluoroscopy is used for better instrument guidance during bronchoscopy. Unfortunately, C-arm images do not provide depth information. But, offering 3D instrument localization would enable faster and more accurate guidance of the bronchoscope. Using the C-arm pose, this can be achieved by combining intraoperative fluoroscopy with a preoperative CT. Thus, the 3D position of the bronchoscope tip inside the bronchial tree can be located and visualized. We developed a marker plate for C-arm pose estimation, which is placed on the patient table. The markers are made of steel and appear in two different shapes: spheres and sticks. Detecting the markers is essential for the C-arm pose estimation method. In this work, we present and evaluate two detection methods for detecting the projected markers on the fluoroscopy images. Tests on cadaver images showed very good results regarding robustness and precision: For circles and lines, 80 and 85, respectively, of all visible markers were detected, whereas only 1 and 3, respectively, of all detected markers were missegmented.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2014
Autor(en): Steger, Teena ; Wesarg, Stefan
Art des Eintrags: Bibliographie
Titel: Quantitative Analysis of Marker Segmentation for C-Arm Pose Based Navigation
Sprache: Englisch
Publikationsjahr: 2014
Verlag: Springer, Berlin, Heidelberg, New York
Reihe: IFMBE Proceedings; 41
Veranstaltungstitel: XIII Mediterranean Conference on Medical and Biological Engineering and Computing
DOI: 10.1007/978-3-319-00846-2_121
Kurzbeschreibung (Abstract):

Intraoperative C-arm fluoroscopy is used for better instrument guidance during bronchoscopy. Unfortunately, C-arm images do not provide depth information. But, offering 3D instrument localization would enable faster and more accurate guidance of the bronchoscope. Using the C-arm pose, this can be achieved by combining intraoperative fluoroscopy with a preoperative CT. Thus, the 3D position of the bronchoscope tip inside the bronchial tree can be located and visualized. We developed a marker plate for C-arm pose estimation, which is placed on the patient table. The markers are made of steel and appear in two different shapes: spheres and sticks. Detecting the markers is essential for the C-arm pose estimation method. In this work, we present and evaluate two detection methods for detecting the projected markers on the fluoroscopy images. Tests on cadaver images showed very good results regarding robustness and precision: For circles and lines, 80 and 85, respectively, of all visible markers were detected, whereas only 1 and 3, respectively, of all detected markers were missegmented.

Freie Schlagworte: Business Field: Digital society, Research Area: Computer vision (CV), Marker segmentation, C-arm pose, Pose estimation, Fluoroscopy
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 12 Nov 2018 11:16
Letzte Änderung: 12 Nov 2018 11:16
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