Dynamic 2-D/3-D Rigid Registration Framework Using Point-To-Plane Correspondence Model

Wang J, Schaffert R, Borsdorf A, Heigl B, Huang X, Hornegger J, Maier A (2017)

Publication Type: Journal article

Publication year: 2017

Journal

Publisher: Institute of Electrical and Electronics Engineers Inc.

Book Volume: 36

Pages Range: 1939-1954

Journal Issue: 9

URI: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Wang17-D2R.pdf

DOI: 10.1109/TMI.2017.2702100

Abstract

In image-guided interventional procedures, live 2-D X-ray images can be augmented with preoperative 3-D computed tomography or MRI images to provide planning landmarks and enhanced spatial perception. An accurate alignment between the 3-D and 2-D images is a prerequisite for fusion applications. This paper presents a dynamic rigid 2-D/3-D registration framework, which measures the local 3-D-to-2-D misalignment and efficiently constrains the update of both planar and non-planar 3-D rigid transformations using a novel point-to-plane correspondence model. In the simulation evaluation, the proposed method achieved a mean 3-D accuracy of 0.07 mm for the head phantom and 0.05 mm for the thorax phantom using single-view X-ray images. In the evaluation on dynamic motion compensation, our method significantly increases the accuracy comparing with the baseline method. The proposed method is also evaluated on a publicly-available clinical angiogram data set with 'gold-standard' registrations. The proposed method achieved a mean 3-D accuracy below 0.8 mm and a mean 2-D accuracy below 0.3 mm using single-view X-ray images. It outperformed the state-of-the-art methods in both accuracy and robustness in single-view registration. The proposed method is intuitive, generic, and suitable for both initial and dynamic registration scenarios.

Authors with CRIS profile

Involved external institutions

Siemens AG, Healthcare Sector Germany (DE)

How to cite

APA:

Wang, J., Schaffert, R., Borsdorf, A., Heigl, B., Huang, X., Hornegger, J., & Maier, A. (2017). Dynamic 2-D/3-D Rigid Registration Framework Using Point-To-Plane Correspondence Model. IEEE Transactions on Medical Imaging, 36(9), 1939-1954. https://doi.org/10.1109/TMI.2017.2702100

MLA:

Wang, Jian, et al. "Dynamic 2-D/3-D Rigid Registration Framework Using Point-To-Plane Correspondence Model." IEEE Transactions on Medical Imaging 36.9 (2017): 1939-1954.

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