ESTRO 2024 - Abstract Book

S4171

Physics - Intra-fraction motion management and real-time adaptive radiotherapy

ESTRO 2024

half. One of the standout features of our LDD method is its ability to handle reverse trajectories, a capability unattainable with prior techniques. This promises more robust and versatile image registration applications in radiotherapy.

Keywords: Deformable registration, continuous representation

References:

[1] Rueckert, Daniel, et al. "Nonrigid registration using free-form deformations: application to breast MR images." IEEE transactions on medical imaging 18.8 (1999): 712-721.

[2] Sitzmann, Vincent, et al. "Implicit neural representations with periodic activation functions." Advances in neural information processing systems 33 (2020): 7462-7473.

[3] Wolterink, Jelmer M., Jesse C. Zwienenberg, and Christoph Brune. "Implicit neural representations for deformable image registration." International Conference on Medical Imaging with Deep Learning. PMLR, 2022.

[4] Cao, Yan, et al. "Large deformation diffeomorphic metric mapping of vector fields." IEEE transactions on medical imaging 24.9 (2005): 1216-1230.

[5] Kloeden, Peter E., et al. Stochastic differential equations. Springer Berlin Heidelberg, 1992.

[6] Castillo, Richard, et al. "A framework for evaluation of deformable image registration spatial accuracy using large landmark point sets." Physics in Medicine & Biology 54.7 (2009): 1849.

613

Proffered Paper

Outcomes of a phase II trial of high-dose online-adaptive SBRT for abdominal oligometastases

Lucy A. van Werkhoven, Maaike T.W. Milder, Mischa S. Hoogeman, Remi A. Nout, Joost J. Nuyttens

Erasmus MC Cancer Institute, Radiotherapy, Rotterdam, Netherlands

Purpose/Objective:

In the phase II prospective STEAL trial, online adaptive stereotactic body radiotherapy (SBRT) with a library of plans is employed to safely increase the dose to the target for patients with abdominopelvic lymph node oligometastases. Here, we report the primary endpoint local control, toxicity, and provide insights into the process of selecting the plans from the library.

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