Alexander Preuhs1, Andreas Maier2, Michael Manhart3, Markus Kowarschik3, Elisabeth Hoppe2, Javad Fotouhi4, Nassir Navab4, Mathias Unberath4. 1. Pattern Recognition Lab, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany. alexander.preuhs@fau.de. 2. Pattern Recognition Lab, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany. 3. Siemens Healthcare GmbH, Forchheim, Germany. 4. Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA.
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.
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.
Authors: Andreas Maier; Hannes G Hofmann; Martin Berger; Peter Fischer; Chris Schwemmer; Haibo Wu; Kerstin Müller; Joachim Hornegger; Jang-Hwan Choi; Christian Riess; Andreas Keil; Rebecca Fahrig Journal: Med Phys Date: 2013-11 Impact factor: 4.071
Authors: André Aichert; Martin Berger; Jian Wang; Nicole Maass; Arnd Doerfler; Joachim Hornegger; Andreas K Maier Journal: IEEE Trans Med Imaging Date: 2015-04-24 Impact factor: 10.048
Authors: H Huang; J H Siewerdsen; W Zbijewski; C R Weiss; M Unberath; T Ehtiati; A Sisniega Journal: Phys Med Biol Date: 2022-06-16 Impact factor: 4.174