Geimer T, Ploner S, Keall P, Bert C, Maier A (2019)
Publication Type: Conference contribution
Publication year: 2019
Publisher: Springer Berlin Heidelberg
Pages Range: 315-320
Conference Proceedings Title: Informatik aktuell
Event location: Lübeck, DEU
ISBN: 9783658253257
DOI: 10.1007/978-3-658-25326-4_70
Driving a respiratory motion model in X-ray guided radiotherapy can be challenging in treatments with continuous rotation such as VMAT, as data-driven respiratory signal extraction suffers from angular effects overlapping with respiratory changes in the projection images. Compared to a linear model trained on static acquisition angles, the bilinear model gains flexibility in terms of handling multiple viewpoints at the cost of accuracy. In this paper, we evaluate both models in the context of serving as the surrogate input to a motion model. Evaluation is performed on the 20 patient 4D CTs in a leave-one-phase-out approach yielding a median accuracy drop of only 0.14mm in the 3D error of estimated vector fields of the bilinear model compared to the linear one.
APA:
Geimer, T., Ploner, S., Keall, P., Bert, C., & Maier, A. (2019). Respiratory Deformation Estimation in X-Ray-Guided IMRT Using a Bilinear Model. In Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 315-320). Lübeck, DEU: Springer Berlin Heidelberg.
MLA:
Geimer, Tobias, et al. "Respiratory Deformation Estimation in X-Ray-Guided IMRT Using a Bilinear Model." Proceedings of the Workshop on Bildverarbeitung fur die Medizin, 2019, Lübeck, DEU Ed. Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff, Springer Berlin Heidelberg, 2019. 315-320.
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