Quantitative imaging biomarkers: a review of statistical methods for technical performance assessment.

@article{Raunig2015QuantitativeIB,
  title={Quantitative imaging biomarkers: a review of statistical methods for technical performance assessment.},
  author={David L. Raunig and Lisa M. McShane and Gene A. Pennello and Constantine Gatsonis and Paul L. Carson and James Voyvodic and Richard L. Wahl and Brenda F. Kurland and Adam J Schwarz and Mithat G{\"o}nen and G Zahlmann and Marina V Kondratovich and Kevin O'Donnell and Nicholas A. Petrick and Patricia E. Cole and Brian S. Garra and Daniel Carl Sullivan},
  journal={Statistical methods in medical research},
  year={2015},
  volume={24 1},
  pages={27-67}
}
Technological developments and greater rigor in the quantitative measurement of biological features in medical images have given rise to an increased interest in using quantitative imaging biomarkers to measure changes in these features. Critical to the performance of a quantitative imaging biomarker in preclinical or clinical settings are three primary metrology areas of interest: measurement linearity and bias, repeatability, and the ability to consistently reproduce equivalent results when… CONTINUE READING