‘On the fly’ reconstruction and tracking system for patient setup in radiation therapy
Kaiser H, Fallavollita P, Navab N (2015)
Publication Type: Conference contribution
Publication year: 2015
Journal
Publisher: Springer Verlag
Book Volume: 9365
Pages Range: 30-37
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Munich, DEU
ISBN: 9783319246000
DOI: 10.1007/978-3-319-24601-7_4
Abstract
Range imaging devices have already shown their value for patient setup and motion management in external beam radiation therapy. However current systems need several range imaging devices recording the patient’s surface from different viewpoints to achieve the required stability and accuracy. Since range imaging devices come as add-ons to regular linear accelerators, they have to share the limited space with other sensors in the treatment room to get a line of sight to the patient’s isocenter. The objective of this work is to describe a new registration framework which enables stable tracking using only one range imager. We unveil the design of our solution to the problem of tracking a patient over long trajectories and large viewpoint changes including surface acquisition, pose estimation and simultaneous surface reconstruction. We evaluate the performance of the system using three clinically motivated experiments: (i) motion management, (ii) non-coplanar patient setup and (iii) tracking over very large angles. We compare our framework to the state-of-art ICP algorithm and to a ground-truth stereoscopic X-ray system from BrainLab. Results demonstrate that we could track subtle movements up to 2.5 cm with a mean target registration error of 0.44 mm and 0.02°. Subsequent non-coplanar field setup on 30° and 2 cm motion yielded a target registration error of 2.88 mm which is within clinical tolerances. Our sensor design demonstrates the potential of simultaneous reconstruction and tracking algorithms and its use for patient setup and motion management in radiation therapy.
Involved external institutions
Germany (DE)How to cite
APA:
Kaiser, H., Fallavollita, P., & Navab, N. (2015). ‘On the fly’ reconstruction and tracking system for patient setup in radiation therapy. In Ziv Yaniv, Cristian A. Linte, Pascal Fallavollita, Ziv Yaniv (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 30-37). Munich, DEU: Springer Verlag.
MLA:
Kaiser, Hagen, Pascal Fallavollita, and Nassir Navab. "‘On the fly’ reconstruction and tracking system for patient setup in radiation therapy." Proceedings of the 10th International Workshop on Augmented Environments for Computer-Assisted Interventions, AE-CAI 2015 and Held in Conjunction with, MICCAI 2015, Munich, DEU Ed. Ziv Yaniv, Cristian A. Linte, Pascal Fallavollita, Ziv Yaniv, Springer Verlag, 2015. 30-37.
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