Paper
12 March 2018 Influence of 4D CT motion artifacts on correspondence model-based 4D dose accumulation
Thilo Sothmann, Tobias Gauer, René Werner
Author Affiliations +
Abstract
In radiotherapy (RT) of moving targets, motion artifacts in 4D CT planning data can be hypothesized to influence accuracy of RT treatment planning steps. Especially results of deformable image registration (DIR) of 4D CT phase images and DIR-based dose accumulation/4D dose simulation can be assumed to be directly affected. In this study, the influence of typical 4D CT "double structure" and "interpolation" artifacts on correspondence model-based 4D dose simulation is investigated. The correspondence model correlates patient-specific DIR-based internal motion information and external breathing signals, which allows for integration of respiratory variability into 4D dose simulation. Artifact-free 4D CT data of 6 lung and liver cancer patients were manipulated to contain mentioned artifacts. Correspondence model-based dose accumulation was performed in both artifact-free and artifact-affected data sets. Overall, the effect of "double structure" artifacts was negligible, whereas "interpolation" artifacts noticeably influenced dose accumulation accuracy.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thilo Sothmann, Tobias Gauer, and René Werner "Influence of 4D CT motion artifacts on correspondence model-based 4D dose accumulation", Proc. SPIE 10576, Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling, 105760F (12 March 2018); https://doi.org/10.1117/12.2291481
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Cited by 6 scholarly publications.
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KEYWORDS
4D CT imaging

Motion models

Model-based design

Lung

Data modeling

Computed tomography

Process modeling

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