Optimal Co-Segmentation of Tumor in PET-CT Images With Context Information

@article{Song2013OptimalCO,
  title={Optimal Co-Segmentation of Tumor in PET-CT Images With Context Information},
  author={Qi Song and Junjie Bai and Dongfeng Han and Sudershan Bhatia and Wenqing Sun and William M. Rockey and John E. Bayouth and John M. Buatti and Xiaodong Wu},
  journal={IEEE Transactions on Medical Imaging},
  year={2013},
  volume={32},
  pages={1685-1697}
}
Positron emission tomography (PET)-computed tomography (CT) images have been widely used in clinical practice for radiotherapy treatment planning of the radiotherapy. Many existing segmentation approaches only work for a single imaging modality, which suffer from the low spatial resolution in PET or low contrast in CT. In this work, we propose a novel method for the co-segmentation of the tumor in both PET and CT images, which makes use of advantages from each modality: the functionality… CONTINUE READING
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