Model-based respiratory motion compensation for image-guided cardiac interventions

Schneider M, Sundar H, Liao R, Hornegger J, Xu C (2010)


Publication Type: Conference contribution, Conference Contribution

Publication year: 2010

Journal

Original Authors: Schneider M., Sundar H., Liao R., Hornegger J., Xu C.

Publisher: IEEE Computer Society; 1999

Book Volume: null

Pages Range: 2948-2954

Event location: San Francisco, CA

Journal Issue: null

DOI: 10.1109/CVPR.2010.5540038

Abstract

In this paper we propose and validate a PCA-based respiratory motion model for motion compensation during image-guided cardiac interventions. In a preparatory training phase, a preoperative 3-D segmentation of the coronary arteries is automatically registered with a cardiac gated biplane cineangiogram, and used to build a respiratory motion model. This motion model is subsequently used as a prior within the intraoperative registration process for motion compensation to restrict the search space. Our hypothesis is that the use of this model-constrained registration increases the robustness and registration accuracy, especially for weak data constraints such as low signal-to-noise ratio, the lack of contrast information, or an intraoperative monoplane setting. This allows for reducing radiation exposure without compromising on registration accuracy. Synthetic data as well as phantom and clinical datasets have been used to validate the model-based registration in terms of registration accuracy, robustness and speed. We were able to significantly accelerate the intraoperative registration with a 3-D TRE of less than 2mm for both monoplane images and intraprocedure settings with missing contrast information based on 2-D guidewire tracking, which makes it feasible for motion correction in clinical procedures. ©2010 IEEE.

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How to cite

APA:

Schneider, M., Sundar, H., Liao, R., Hornegger, J., & Xu, C. (2010). Model-based respiratory motion compensation for image-guided cardiac interventions. In Proceedings of the 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010 (pp. 2948-2954). San Francisco, CA: IEEE Computer Society; 1999.

MLA:

Schneider, Max, et al. "Model-based respiratory motion compensation for image-guided cardiac interventions." Proceedings of the 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010, San Francisco, CA IEEE Computer Society; 1999, 2010. 2948-2954.

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