The impact of registration accuracy on imaging validation study design: A novel statistical power calculation

Medical Image Analysis

Volumn 17, Issue 7, 2013, Pages 805-815

  Gibson, Eli ^a,b   Fenster, Aaron ^a,b,c   Ward, Aaron D ^a,c  

^a UNIVERSITY OF WESTERN ONTARIO   (Canada)

^b ROBARTS RESEARCH INSTITUTE   (Canada)

^c LAWSON HEALTH RESEARCH INSTITUTE   (Canada)

Author keywords

Imaging validation studies; Minimum detectable difference; Registration error; Sample size; Statistical power calculation

Indexed keywords

MINIMUM DETECTABLE DIFFERENCES; REGISTRATION ERROR; SAMPLE SIZES; STATISTICAL POWER; VALIDATION STUDY;

COMPUTER SIMULATION; MEDICAL IMAGING; PATHOLOGY;

DESIGN;

ACCURACY; ADULT; ARTICLE; CALCULATION; CONTRAST ENHANCEMENT; CONTROLLED STUDY; CORRELATION ANALYSIS; DIFFUSION WEIGHTED IMAGING; ERROR; HUMAN; IMAGE ANALYSIS; MAJOR CLINICAL STUDY; MALE; MONTE CARLO METHOD; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; PROSTATE CANCER; PROSTATECTOMY; REGISTER; SIGNAL DETECTION; STANDARD; STATISTICS; STUDY DESIGN; VALIDATION STUDY;

IMAGING VALIDATION STUDIES; MINIMUM DETECTABLE DIFFERENCE; REGISTRATION ERROR; SAMPLE SIZE; STATISTICAL POWER CALCULATION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DATA INTERPRETATION, STATISTICAL; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84879882579     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2013.04.008     Document Type: Article

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