Isocenter Determination from Projection Matrices of a C-Arm CBCT

Amri A, Bier B, Maier J, Maier A (2019)


Publication Type: Conference contribution

Publication year: 2019

Journal

Publisher: Springer Berlin Heidelberg

Pages Range: 276-281

Conference Proceedings Title: Informatik aktuell

Event location: Lübeck DE

ISBN: 9783658253257

DOI: 10.1007/978-3-658-25326-4_61

Abstract

An accurate position of the isocenter of a cone-beam CT trajectory is mandatory for accurate image reconstruction. For analytical backprojection algorithms, it is assumed that the X-ray source moves on a perfectly circular trajectory, which is not true for most practical clinical trajectories due to mechanical instabilities. Besides, the flexibility of novel robotic C-arm systems enables new trajectories where the computation of the isocenter might not be straight forward. An inaccurate isocenter position directly affects the computation of the redundancy weights and consequently affects the reconstructions immediately. In this work, we compare different methods for computing the isocenter of a non-ideal circular scan trajectory and evaluate their robustness in the presence of noise. The best results were achieved using a method based on a least-square-based fit. Furthermore, we show that an inaccurate isocenter computation can lead to artifacts in the reconstruction result. Therefore, this work highlights the importance of an accurate isocenter computation with the background of novel upcoming clinical trajectories.

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How to cite

APA:

Amri, A., Bier, B., Maier, J., & Maier, A. (2019). Isocenter Determination from Projection Matrices of a C-Arm CBCT. In Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 276-281). Lübeck, DE: Springer Berlin Heidelberg.

MLA:

Amri, Ahmed, et al. "Isocenter Determination from Projection Matrices of a C-Arm CBCT." 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. 276-281.

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