Uncertainty Assessment of Quantitative Measurements in Medical Imaging: Applications in Cross-Sectional and Longitudinal Diffusion MRI
Abstract
Medical imaging measurements have been increasingly investigated as imaging biomarkers for detecting physiological and pathological changes. It is critical to evaluate the reliability of the changes in measurements observed in an individual patient for any clinical decision making. The purpose of this article is to review the utility of uncertainty analysis in medical imaging measurements for individual patients undergoing any pathology or medical therapy. We specifically show how to assess whether the observed alterations in measurements are true changes, i.e. the changes due to medical conditions alone, beyond the uncertainty associated with the imaging, image analysis, or natural physiological occurrences. In order to elaborate the uncertainty concept and the potential applications of uncertainty analysis in the field medical imaging, we reopen two of our previous articles published in the “journal of Physics in Medicine and Biology” [1], and the “Journal of neurological sciences” [2], respectively. While the first study delineates the uncertainty analysis in the context of longitudinal imaging for evaluating the validity of serial measurements, the second work intricates such an application for evaluating the laterality indices and interhemispheric changes in the pathologic brains in cross-sectional studies. Assessment of the repeatability and confidence interval of medical measurements of an endpoint of interest allows us to determine the true changes in measurements,…
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