The impact of registration accuracy on imaging validation study design: A novel statistical power calculation
Misregistration impacts power/cost of registration-based imaging validation studies. We derive 3 power calculations that model the uncertainty due to registration error. Formulae relate sample size, registration error and minimum detectable difference. Formulae predicted sample size, minimum detectable difference and power to within 1%. We illustrate applying the formulae using a case study modeled on an ongoing study.
imaging validation studies statistical power calculation registration error sample size minimum detectable difference