Fast marker based C-Arm pose estimation

Kainz B (2008)


Publication Status: Published

Publication Type: Conference contribution, Original article

Publication year: 2008

Publisher: Springer Verlag

Book Volume: 5242

Pages Range: 652-659

Event location: New York, NY

ISBN: 3540859896

DOI: 10.1007/978-3-540-85990-1_78

Abstract

To estimate the pose of a C-Arm during interventions therapy we have developed a small sized X-Ray Target including a special set of beads with known locations in 3D space. Since the patient needs of remain the the X-Ray path for all feasible poses of the C-Arm during the interventions, we cannot construct a single marker which is entirely visible in all images. Therefore findings 2D-3D point correspondences is a non-trivial task. The marker pattern has to be chosen in a way such that its projection onto the image plane is unique in a minimal-sized window for all relevant poses of C-Arm. We use a two dimensional adaption of a linear feedback shift register (LFSR) to generate a two-dimensional pattern with unique sub-patterns in a certain window range. Thereby uniqueness is not achieved by placing unique 2D sub patterns side by side but by the code property itself. The code is designed in a way that any sub window of a minimal size guarantees uniqueness and that even occlusions from medical instruments can be handled. Experiments showed that we were able to estimate the C-Arm's pose from a single image within one second with a precision below one millimeter and one degree.

Authors with CRIS profile

How to cite

APA:

Kainz, B. (2008). Fast marker based C-Arm pose estimation. In Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2008 (pp. 652-659). New York, NY: Springer Verlag.

MLA:

Kainz, Bernhard. "Fast marker based C-Arm pose estimation." Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2008, New York, NY Springer Verlag, 2008. 652-659.

BibTeX: Download