Fast marker based c-arm pose estimation
File(s)Kainz_MICCAI2008.pdf (201.34 KB)
Accepted version
Author(s)
Kainz, B
Grabner, M
Rüther, M
Type
Conference Paper
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 to remain in the X-Ray path for all feasible poses of the C-Arm during the intervention, we cannot construct a single marker which is entirely visible in all images. Therefore finding 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 the 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.
Date Issued
2008-09-06
Date Acceptance
2008-09-06
Citation
Lecture Notes in Computer Science, 2008, 5242 (Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008; 11th International Conference, New York, NY, USA, September 6-10, 2008, Proceedings, Part II), pp.652-659
ISBN
978-3-540-85989-5
ISSN
0302-9743
Publisher
Springer
Start Page
652
End Page
659
Journal / Book Title
Lecture Notes in Computer Science
Volume
5242
Issue
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008; 11th International Conference, New York, NY, USA, September 6-10, 2008, Proceedings, Part II
Copyright Statement
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-540-85990-1_78
Source
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008
Publication Status
Published
Start Date
2008-09-06
Finish Date
2008-09-10
Coverage Spatial
New York, NY USA