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Proceedings Paper

Application of real-time single camera SLAM technology for image-guided targeting in neurosurgery
Author(s): Yau-Zen Chang; Jung-Fu Hou; Yi Hsiang Tsao; Shih-Tseng Lee
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Paper Abstract

In this paper, we propose an application of augmented reality technology for targeting tumors or anatomical structures inside the skull. The application is a combination of the technologies of MonoSLAM (Single Camera Simultaneous Localization and Mapping) and computer graphics. A stereo vision system is developed to construct geometric data of human face for registration with CT images. Reliability and accuracy of the application is enhanced by the use of fiduciary markers fixed to the skull. The MonoSLAM keeps track of the current location of the camera with respect to an augmented reality (AR) marker using the extended Kalman filter. The fiduciary markers provide reference when the AR marker is invisible to the camera. Relationship between the markers on the face and the augmented reality marker is obtained by a registration procedure by the stereo vision system and is updated on-line. A commercially available Android based tablet PC equipped with a 320×240 front-facing camera was used for implementation. The system is able to provide a live view of the patient overlaid by the solid models of tumors or anatomical structures, as well as the missing part of the tool inside the skull.

Paper Details

Date Published: 15 October 2012
PDF: 8 pages
Proc. SPIE 8499, Applications of Digital Image Processing XXXV, 84992D (15 October 2012); doi: 10.1117/12.928448
Show Author Affiliations
Yau-Zen Chang, Chang Gung Univ. (Taiwan)
Jung-Fu Hou, Chang Gung Univ. (Taiwan)
Yi Hsiang Tsao, Chang Gung Univ. (Taiwan)
Shih-Tseng Lee, Chang Gung Memorial Hospital (Taiwan)

Published in SPIE Proceedings Vol. 8499:
Applications of Digital Image Processing XXXV
Andrew G. Tescher, Editor(s)

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