Decoupling Respiratory and Angular Variation in Rotational X-ray Scans Using a Prior Bilinear Model

Geimer T, Keall P, Breininger K, Caillet V, Dunbar M, Bert C, Maier A (2019)

Publication Type: Conference contribution

Publication year: 2019

Journal

Lecture Notes in Computer Science Springer Verlag

Publisher: Springer Verlag

Book Volume: 11269 LNCS

Pages Range: 583-594

Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Event location: Stuttgart, DEU

ISBN: 9783030129385

DOI: 10.1007/978-3-030-12939-2_40

Abstract

Data-driven respiratory signal extraction from rotational X-ray scans is a challenge as angular effects overlap with respiration-induced change in the scene. In this paper, we use the linearity of the X-ray transform to propose a bilinear model based on a prior 4D scan to separate angular and respiratory variation. The bilinear estimation process is supported by a B-spline interpolation using prior knowledge about the trajectory angle. Consequently, extraction of respiratory features simplifies to a linear problem. Though the need for a prior 4D CT seems steep, our proposed use-case of driving a respiratory motion model in radiation therapy usually meets this requirement. We evaluate on DRRs of 5 patient 4D CTs in a leave-one-phase-out manner and achieve a mean estimation error of $$3.01\%$$ in the gray values for unseen viewing angles. We further demonstrate suitability of the extracted weights to drive a motion model for treatments with a continuously rotating gantry.

Authors with CRIS profile

Tobias Geimer Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Katharina Breininger Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Christoph Bert Professur für Med. Strahlenphysik Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung)

Additional Organisation(s)

Erlangen Graduate School in Advanced Optical Technologies

Involved external institutions

University of Sydney (USYD) AU Australia (AU)

How to cite

APA:

Geimer, T., Keall, P., Breininger, K., Caillet, V., Dunbar, M., Bert, C., & Maier, A. (2019). Decoupling Respiratory and Angular Variation in Rotational X-ray Scans Using a Prior Bilinear Model. In Thomas Brox, Mario Fritz, Andrés Bruhn (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 583-594). Stuttgart, DEU: Springer Verlag.

MLA:

Geimer, Tobias, et al. "Decoupling Respiratory and Angular Variation in Rotational X-ray Scans Using a Prior Bilinear Model." Proceedings of the 40th German Conference on Pattern Recognition, GCPR 2018, Stuttgart, DEU Ed. Thomas Brox, Mario Fritz, Andrés Bruhn, Springer Verlag, 2019. 583-594.

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