Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image Estimation

@article{An2016MultiLevelCC,
  title={Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image Estimation},
  author={Le An and Pei Zhang and Ehsan Adeli-Mosabbeb and Yan Wang and Guangkai Ma and Feng Shi and David S. Lalush and Weili Lin and Dinggang Shen},
  journal={IEEE Transactions on Image Processing},
  year={2016},
  volume={25},
  pages={3303-3315}
}
Positron emission tomography (PET) images are widely used in many clinical applications, such as tumor detection and brain disorder diagnosis. To obtain PET images of diagnostic quality, a sufficient amount of radioactive tracer has to be injected into a living body, which will inevitably increase the risk of radiation exposure. On the other hand, if the tracer dose is considerably reduced, the quality of the resulting images would be significantly degraded. It is of great interest to estimate… CONTINUE READING

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