Keywords: Phantoms, Phantoms, Real-time, adaptive radiotherapy
Motivation: Real-time adaptive radiotherapy, which involves tracking a target during internal patient motion, may soon reach clinical implementation. Quality assurance methods will be needed, especially for deformable motion.
Goal(s): Develop a method of characterizing the relationship between input and target shape for deformable tumor model phantoms.
Approach: We acquired dynamic MRI and static CT of a deformable phantom subject to several input waveforms. We approximated the target as an ellipsoid and created a linear model to predict the ellipsoid parameters from the input.
Results: The ellipsoid parameters of the target subject to a new waveform could be predicted to within a millimeter.
Impact: We demonstrated a simple method to determine the relationship between input and target geometry for deformable tumor model phantoms. Patient-specific tumor motion can be recreated by inverting the input-target geometry relationship for quality assurance of real-time adaptive radiotherapy plans.
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