Symmetry prior for epipolar consistency

Preuhs A, Maier A, Manhart M, Kowarschik M, Hoppe E, Fotouhi J, Navab N, Unberath M (2019)


Publication Type: Journal article

Publication year: 2019

Journal

DOI: 10.1007/s11548-019-02027-8

Abstract

Purpose: For a perfectly plane symmetric object, we can find two views—mirrored at the plane of symmetry—that will yield the exact same image of that object. In consequence, having one image of a plane symmetric object and a calibrated camera, we automatically have a second, virtual image of that object if the 3-D location of the symmetry plane is known. Methods: We propose a method for estimating the symmetry plane from a set of projection images as the solution of a consistency maximization based on epipolar consistency. With the known symmetry plane, we can exploit symmetry to estimate in-plane motion by introducing the X-trajectory that can be acquired with a conventional short-scan trajectory by simply tilting the acquisition plane relative to the plane of symmetry. Results: We inspect the symmetry plane estimation on a real scan of an anthropomorphic human head phantom and show the robustness using a synthetic dataset. Further, we demonstrate the advantage of the proposed method for estimating in-plane motion using the acquired projection data. Conclusion: Symmetry breakers in the human body are widely used for the detection of tumors or strokes. We provide a fast estimation of the symmetry plane, robust to outliers, by computing it directly from a set of projections. Further, by coupling the symmetry prior with epipolar consistency, we overcome inherent limitations in the estimation of in-plane motion.

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APA:

Preuhs, A., Maier, A., Manhart, M., Kowarschik, M., Hoppe, E., Fotouhi, J.,... Unberath, M. (2019). Symmetry prior for epipolar consistency. International Journal of Computer Assisted Radiology and Surgery. https://dx.doi.org/10.1007/s11548-019-02027-8

MLA:

Preuhs, Alexander, et al. "Symmetry prior for epipolar consistency." International Journal of Computer Assisted Radiology and Surgery (2019).

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