Name
Title | ||
|---|---|---|
The impact of registration accuracy on imaging validation study design: A novel statistical power calculation. |
Abstract | ||
|---|---|---|
•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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.media.2013.04.008 | Medical Image Analysis |
Keywords | Field | DocType |
Registration error,Sample size,Minimum detectable difference,Statistical power calculation,Imaging validation studies | Modalities,Imaging Signal,Monte Carlo method,Pattern recognition,Medical imaging,Computer science,Maximum error,Artificial intelligence,Statistical power,Sample size determination,Image registration | Journal |
Volume | Issue | ISSN |
17 | 7 | 1361-8415 |
Citations | PageRank | References |
1 | 0.36 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eli Gibson | 1 | 188 | 23.91 |
| Aaron Fenster | 2 | 106 | 8.46 |
| Aaron D Ward | 3 | 89 | 22.61 |