A Kernel-based Framework for Intra-fractional Respiratory Motion Estimation in Radiation Therapy

Beitrag bei einer Tagung


Details zur Publikation

Autorinnen und Autoren: Geimer T, Unberath M, Birlutiu A, Taubmann O, Wölfelschneider J, Bert C, Maier A
Titel Sammelwerk: Proceedings - International Symposium on Biomedical Imaging
Verlag: IEEE Computer Society
Jahr der Veröffentlichung: 2017
Tagungsband: Proceedings of the 2017 IEEE International Symposium on Biomedical Imaging
Seitenbereich: 1036-1039
ISBN: 9781509011711
ISSN: 1945-8452
Sprache: Englisch


Abstract

In radiation therapy, tumor tracking allows to adjust the beam
such that it follows the respiration-induced tumor motion.
However, most clinical approaches rely on implanted fiducial
markers to locate the tumor and, thus, only provide sparse
information. Motion models have been investigated to estimate dense internal displacement fields from an external
surrogate signal, such as range imaging. With increasing
surrogate complexity, we propose a respiratory motion estimation framework based on kernel ridge regression to cope
with high-dimensional domains. This approach was validated
on five patient datasets, consisting of a planning 4DCT and a
follow-up 4DCT for each patient. Mean residual error was at
best 2.73 ± 0.25 mm, but varied greatly between patients.


FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

Bert, Christoph Prof. Dr. rer. nat.
Professur für Med. Strahlenphysik
Birlutiu, Adriana
Lehrstuhl für Informatik 5 (Mustererkennung)
Geimer, Tobias
Lehrstuhl für Informatik 5 (Mustererkennung)
Maier, Andreas Prof. Dr.-Ing.
Lehrstuhl für Informatik 5 (Mustererkennung)
Taubmann, Oliver
Lehrstuhl für Informatik 5 (Mustererkennung)
Unberath, Mathias
Lehrstuhl für Informatik 5 (Mustererkennung)
Wölfelschneider, Jens
Strahlenklinik


Zusätzliche Organisationseinheit(en)
Erlangen Graduate School in Advanced Optical Technologies


Zitierweisen

APA:
Geimer, T., Unberath, M., Birlutiu, A., Taubmann, O., Wölfelschneider, J., Bert, C., & Maier, A. (2017). A Kernel-based Framework for Intra-fractional Respiratory Motion Estimation in Radiation Therapy. In Proceedings of the 2017 IEEE International Symposium on Biomedical Imaging (pp. 1036-1039). Melbourne, Australia: IEEE Computer Society.

MLA:
Geimer, Tobias, et al. "A Kernel-based Framework for Intra-fractional Respiratory Motion Estimation in Radiation Therapy." Proceedings of the 2017 IEEE International Symposium on Biomedical Imaging, Melbourne, Australia IEEE Computer Society, 2017. 1036-1039.

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Zuletzt aktualisiert 2019-23-06 um 07:15