Depth-Aware Template Tracking for Robust Patient Motion Compensation for Interventional 2-D/3-D Image Fusion

Conference contribution
(Original article)


Publication Details

Author(s): Wang J, Borsdorf A, Endres J, Hornegger J
Title edited volumes: IEEE Nuclear Science Symposium Conference Record
Publication year: 2013
Conference Proceedings Title: 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC)
ISSN: 1095-7863


Abstract


In interventional radiology, pre-operative three dimensional (3-D) images (e.g. CT and MRI) can be fused to the real-time 2-D fluoroscopic images, known as 2-D/3-D image fusion or overlay. 2-D/3-D registration is usually performed at the beginning to ensure an accurate overlay. However, the misalignment caused by patient motion has to be corrected during the procedure. In this paper, we propose an adapted template-based tracking approach that fits well into the novel depth-layer-based framework, where 3-D motion can be estimated by depth-aware tracking in 2-D X-ray images. Templates are generated according to the 2-D/3-D matching procedure, where the 2-D features are matched with the depth layer images generated from the 3-D volume. Our template update strategy takes both initial and current frame into account, which effectively enhances the accuracy of the template tracking. Two strategies are applied to enhance robustness against external disturbances: template lock and motion estimation feedback. The experiment results show that our new approach is capable of estimating 3-D motion and much more robust against external disturbances compared to the Kanade-Lucas-Tomasi tracker that is previously used in the depth-layer-based framework. © 2013 IEEE.



FAU Authors / FAU Editors

Endres, Jürgen
Lehrstuhl für Informatik 5 (Mustererkennung)
Hornegger, Joachim Prof. Dr.-Ing.
Lehrstuhl für Informatik 5 (Mustererkennung)
Wang, Jian
Lehrstuhl für Informatik 5 (Mustererkennung)


How to cite

APA:
Wang, J., Borsdorf, A., Endres, J., & Hornegger, J. (2013). Depth-Aware Template Tracking for Robust Patient Motion Compensation for Interventional 2-D/3-D Image Fusion. In 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC). Seoul, South Korea.

MLA:
Wang, Jian, et al. "Depth-Aware Template Tracking for Robust Patient Motion Compensation for Interventional 2-D/3-D Image Fusion." Proceedings of the IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) 2013, Seoul, South Korea 2013.

BibTeX: 

Last updated on 2018-19-04 at 02:52