Simulation of spatiotemporal CT data sets using a 4D MRI-based lung motion model

@article{Marx2013SimulationOS,
  title={Simulation of spatiotemporal CT data sets using a 4D MRI-based lung motion model},
  author={Mirko Marx and Jan Ehrhardt and Ren{\'e} Werner and Heinz-Peter Schlemmer and Heinz Handels},
  journal={International Journal of Computer Assisted Radiology and Surgery},
  year={2013},
  volume={9},
  pages={401-409}
}
Four-dimensional CT imaging is widely used to account for motion-related effects during radiotherapy planning of lung cancer patients. However, 4D CT often contains motion artifacts, cannot be used to measure motion variability, and leads to higher dose exposure. In this article, we propose using 4D MRI to acquire motion information for the radiotherapy planning process. From the 4D MRI images, we derive a time-continuous model of the average patient-specific respiratory motion, which is then… CONTINUE READING
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