Effect of Region of Interest Size on the Repeatability of Quantitative Brain Imaging Biomarkers.

ABSTRACT: In the repeatability analysis, when the measurement is the mean value of a parametric map within a region of interest (ROI), the ROI size becomes important as by increasing the size, the measurement will have a smaller variance. This is important in decision-making in prospective clinical studies of brain when the ROI size is variable, e.g., in monitoring the effect of treatment on lesions by quantitative MRI, and in particular when the ROI is small, e.g., in the case of brain lesions in multiple sclerosis. Thus, methods to estimate repeatability measures for arbitrary sizes of ROI are desired. We propose a statistical model of the values of parametric map within the ROI and a method to approximate the model parameters, based on which we estimate a number of repeatability measures includin

SUBMITTER: Jafari-Khouzani K 

PROVIDER: S-EPMC7230119 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature