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

Conference contribution


Publication Details

Author(s): Geimer T, Keall P, Breininger K, Caillet V, Dunbar M, Bert C, Maier A
Editor(s): Thomas Brox, Mario Fritz, Andrés Bruhn
Publisher: Springer Verlag
Publication year: 2019
Volume: 11269 LNCS
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages range: 583-594
ISBN: 9783030129385
ISSN: 0302-9743


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.


FAU Authors / FAU Editors

Bert, Christoph Prof. Dr. rer. nat.
Professur für Med. Strahlenphysik
Breininger, Katharina
Lehrstuhl für Informatik 5 (Mustererkennung)
Geimer, Tobias
Lehrstuhl für Informatik 5 (Mustererkennung)
Maier, Andreas Prof. Dr.-Ing.
Lehrstuhl für Informatik 5 (Mustererkennung)


Additional Organisation
Erlangen Graduate School in Advanced Optical Technologies


External institutions with authors

University of Sydney


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.

BibTeX: 

Last updated on 2019-24-06 at 08:23