pq-Space Based 2D/3D Registration for Endoscope Tracking

Deligianni, F. , Chung, A. and Yang, G.-Z. (2003) pq-Space Based 2D/3D Registration for Endoscope Tracking. In: 6th International Medical Image Computing and Computer-Assisted Intervention Conference (MICCAI 2003), Montréal, Canada, 15-18 Nov 2003, pp. 311-318. ISBN 9783540204626 (doi:10.1007/978-3-540-39899-8_39)

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This paper presents a new pq-space based 2D/3D registration method for camera pose estimation for endoscope tracking. The proposed technique involves the extraction of surface normals for each pixel of the video images by using a linear local shape-from-shading algorithm derived from the unique camera/lighting constrains of the endoscopes. We illustrate how to use the derived pq-space distribution to match to that of the 3D tomographic model, and demonstrate the accuracy of the proposed method by using an electro-magnetic tracker and a specially constructed airway phantom. Comparison to existing intensity-based techniques has also been made, which highlights the major strength of the proposed method in its robustness against illumination and tissue deformation.

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Deligianni, Dr Fani
Authors: Deligianni, F., Chung, A., and Yang, G.-Z.
College/School:College of Science and Engineering > School of Computing Science
ISSN:Beijing, China

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