Optimal transformations leading to normal distributions of positron emission tomography standardized uptake values.

@article{Scarpelli2017OptimalTL,
  title={Optimal transformations leading to normal distributions of positron emission tomography standardized uptake values.},
  author={Matthew Scarpelli and Jens Eickhoff and Enrique Cuna and Scott B. Perlman and Robert Jeraj},
  journal={Physics in medicine and biology},
  year={2017},
  volume={63 3},
  pages={
          035021
        }
}
The statistical analysis of positron emission tomography (PET) standardized uptake value (SUV) measurements is challenging due to the skewed nature of SUV distributions. This limits utilization of powerful parametric statistical models for analyzing SUV measurements. An ad-hoc approach, which is frequently used in practice, is to blindly use a log transformation, which may or may not result in normal SUV distributions. This study sought to identify optimal transformations leading to normally… CONTINUE READING

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