Robust Multi-View 2-D/3-D Registration Using Point-To-Plane Correspondence Model

Schaffert R, Wang J, Fischer P, Maier A, Borsdorf A (2020)

Publication Type: Journal article

Publication year: 2020

Journal

IEEE Transactions on Medical Imaging Institute of Electrical and Electronics Engineers (IEEE)

Book Volume: 39

Pages Range: 161-174

Journal Issue: 1

DOI: 10.1109/TMI.2019.2922931

Abstract

In minimally invasive procedures, the clinician relies on image guidance to observe and navigate the operation site. In order to show structures which are not visible in the live X-ray images, such as vessels or planning annotations, X-ray images can be augmented with pre-operatively acquired images. Accurate image alignment is needed and can be provided by 2-D/3-D registration. In this paper, a multi-view registration method based on the point-to-plane correspondence model is proposed. The correspondence model is extended to be independent of the used camera coordinates and different multi-view registration schemes are introduced and compared. Evaluation is performed for a wide range of clinically relevant registration scenarios. We show for different applications that registration using correspondences from both views simultaneously provides accurate and robust registration, while the performance of the other schemes varies considerably. Our method also outperforms the state-of-the-art method for cerebral angiography registration, achieving a capture range of 18 mm and an accuracy of 0.22 & x00B1;0.07 mm. Furthermore, investigations on the minimum angle between the views are performed in order to provide accurate and robust registration, while minimizing the obstruction to the clinical workflow. We show that small angles around 30 & x00B0; are sufficient to provide reliable registration results.

Authors with CRIS profile

Roman Schaffert Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung)

Involved external institutions

Siemens Healthineers DE Germany (DE)

How to cite

APA:

Schaffert, R., Wang, J., Fischer, P., Maier, A., & Borsdorf, A. (2020). Robust Multi-View 2-D/3-D Registration Using Point-To-Plane Correspondence Model. IEEE Transactions on Medical Imaging, 39(1), 161-174. https://dx.doi.org/10.1109/TMI.2019.2922931

MLA:

Schaffert, Roman, et al. "Robust Multi-View 2-D/3-D Registration Using Point-To-Plane Correspondence Model." IEEE Transactions on Medical Imaging 39.1 (2020): 161-174.

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