Modeling respiratory motion for reducing motion artifacts in 4D CT images.

@article{Zhang2013ModelingRM,
  title={Modeling respiratory motion for reducing motion artifacts in 4D CT images.},
  author={Yongbin Zhang and Jinzhong Yang and Lifei Zhang and Laurence E. Court and Peter A. Balter and Lei-xi Dong},
  journal={Medical physics},
  year={2013},
  volume={40 4},
  pages={041716}
}
PURPOSE Four-dimensional computed tomography (4D CT) images have been recently adopted in radiation treatment planning for thoracic and abdominal cancers to explicitly define respiratory motion and anatomy deformation. However, significant image distortions (artifacts) exist in 4D CT images that may affect accurate tumor delineation and the shape representation of normal anatomy. In this study, the authors present a patient-specific respiratory motion model, based on principal component… CONTINUE READING
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