We consider a novel application of quality control charts to brain scans performed using magnetic resonance imaging (MRI). Although our primary focus is on volume measures resulting from brain scans, issues related to the MRI scanner are also considered. The project evaluates a population of healthy control subjects using control charts to assess the MRIs obtained for the subjects. The results demonstrate our ability to automatically detect brain volumes that are statistical outliers, and can provide a potential cost savings of 10% for a moderately sized study. More importantly, our applied results will increase the sensitivity of tests from comparisons made between subject populations due to the fact that certain populations of subjects can be quickly, efficiently, and automatically identified based on outlier analysis.
Level of Degree
Mathematics & Statistics
First Committee Member (Chair)
Second Committee Member
Third Committee Member
Rex E. Jung
Brain--Magnetic resonance imaging--Data processing--Statistical methods, Brain--Anatomy--Data processing.
Williams, Sumner IV. "Using control charts for computer-aided diagnosis of brain images." (2009). https://digitalrepository.unm.edu/math_etds/76