Maximum Likelihood Estimation of Head Motion Using Epipolar Consistency

Preuhs A, Ravikumar N, Manhart M, Stimpel B, Hoppe E, Syben-Leisner C, Kowarschik M, Maier A (2019)

Publication Type: Conference contribution

Publication year: 2019

Journal

Publisher: Springer Berlin Heidelberg

Pages Range: 134-139

Conference Proceedings Title: Informatik aktuell

Event location: Lübeck

ISBN: 9783658253257

DOI: 10.1007/978-3-658-25326-4_29

Abstract

Open gantry C-arm systems that are placed within the interventional room enable 3-D imaging and guidance for stroke therapy without patient transfer. This can profit in drastically reduced time-totherapy, however, due to the interventional setting, the data acquisition is comparatively slow. Thus, involuntary patient motion needs to be estimated and compensated to achieve high image quality. Patient motion results in a misalignment of the geometry and the acquired image data. Consistency measures can be used to restore the correct mapping to compensate the motion. They describe constraints on an idealized imaging process which makes them also sensitive to beam hardening, scatter, truncation or overexposure. We propose a probabilistic approach based on the Student’s t-distribution to model image artifacts that affect the consistency measure without sourcing from motion.

Authors with CRIS profile

Involved external institutions

Siemens AG Germany (DE)

How to cite

APA:

Preuhs, A., Ravikumar, N., Manhart, M., Stimpel, B., Hoppe, E., Syben-Leisner, C.,... Maier, A. (2019). Maximum Likelihood Estimation of Head Motion Using Epipolar Consistency. In Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 134-139). Lübeck, DE: Springer Berlin Heidelberg.

MLA:

Preuhs, Alexander, et al. "Maximum Likelihood Estimation of Head Motion Using Epipolar Consistency." Proceedings of the Workshop on Bildverarbeitung fur die Medizin, 2019, Lübeck Ed. Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff, Springer Berlin Heidelberg, 2019. 134-139.

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