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Particle Path Segmentation: a Fast, Accurate, and Robust Method for Localization of Spherical Markers in Cone-beam CT Projections

El Hakimi, Wissam and Beutel, Johannes and Sakas, Georgios (2014):
Particle Path Segmentation: a Fast, Accurate, and Robust Method for Localization of Spherical Markers in Cone-beam CT Projections.
de Gruyter, Berlin, In: Proceedings BMT 2014. 48. DGBMT Jahrestagung, pp. 405-408, DOI: 10.1515/bmt-2014-5005,
[Conference or Workshop Item]

Abstract

Spherical fiducial markers are widely used for point-based registration of intra-operative 2D X-ray projections to preoperative 3D computed tomography images. The automatic localization of marker centers on X-rays speeds up the registration process and reduces the human error. However, a sub-pixel accurate localization of said centers is at present a challenging task, especially when fiducials overlap dense anatomical structures on the radiographs. In this paper, we propose a new method for automated and accurate detection of centers of fiducial markers in 2D projections, even in presence of structure overlapping. Several experiments confirm the high accuracy and robustness of the proposed algorithm achieving a localization error - mean (std) - equal to 0.059 (0.062) mm.

Item Type: Conference or Workshop Item
Erschienen: 2014
Creators: El Hakimi, Wissam and Beutel, Johannes and Sakas, Georgios
Title: Particle Path Segmentation: a Fast, Accurate, and Robust Method for Localization of Spherical Markers in Cone-beam CT Projections
Language: English
Abstract:

Spherical fiducial markers are widely used for point-based registration of intra-operative 2D X-ray projections to preoperative 3D computed tomography images. The automatic localization of marker centers on X-rays speeds up the registration process and reduces the human error. However, a sub-pixel accurate localization of said centers is at present a challenging task, especially when fiducials overlap dense anatomical structures on the radiographs. In this paper, we propose a new method for automated and accurate detection of centers of fiducial markers in 2D projections, even in presence of structure overlapping. Several experiments confirm the high accuracy and robustness of the proposed algorithm achieving a localization error - mean (std) - equal to 0.059 (0.062) mm.

Publisher: de Gruyter, Berlin
Uncontrolled Keywords: Forschungsgruppe Medical Computing (MECO), Registration, Marker localization, Computer vision, Cone-beam computed tomography (CBCT)
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: Proceedings BMT 2014. 48. DGBMT Jahrestagung
Date Deposited: 12 Nov 2018 11:16
DOI: 10.1515/bmt-2014-5005
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