A multi-institution evaluation of deformable image registration algorithms for automatic organ delineation in adaptive head and neck radiotherapy

@inproceedings{Hardcastle2012AME,
  title={A multi-institution evaluation of deformable image registration algorithms for automatic organ delineation in adaptive head and neck radiotherapy},
  author={Nicholas Hardcastle and Wolfgang A. Tom{\'e} and Donald M. Cannon and Charlotte L. Brouwer and Paul WH Wittendorp and Nesrin Dogan and Matthias Guckenberger and St{\'e}phane Allaire and Yogish Mallya and Prashant Kumar and Markus Oechsner and Anne Richter and Shiyu Song and Michael Myers and Buelent Polat and Karl Bzdusek},
  booktitle={Radiation oncology},
  year={2012}
}
BACKGROUND Adaptive Radiotherapy aims to identify anatomical deviations during a radiotherapy course and modify the treatment plan to maintain treatment objectives. This requires regions of interest (ROIs) to be defined using the most recent imaging data. This study investigates the clinical utility of using deformable image registration (DIR) to automatically propagate ROIs. METHODS Target (GTV) and organ-at-risk (OAR) ROIs were non-rigidly propagated from a planning CT scan to a per… CONTINUE READING

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