Abstract: A computer-implemented method of validating motion correction of magnetic resonance (MR) images in a quantitative parametric map of a parameter is provided. The method includes receiving a series of motion corrected images of a series of MR images, wherein the series of MR images are MR images of an anatomical region at different points of time. For each pixel of a plurality of pixels in one of the series of motion corrected images, the method further includes generating a time series at the pixel based on the series of motion corrected images, fitting the time series to a model of the parameter, and estimating an indicator of goodness of fit of the time series to the model. The method also includes generating a metric indicating effectiveness of the motion correction based on estimated indicators of goodness of fit of the plurality of pixels, and validating the motion correction based on the metric.

Abstract: A computer-implemented method of validating motion correction of magnetic resonance (MR) images in a quantitative parametric map of a parameter is provided. The method includes receiving a series of motion corrected images of a series of MR images, wherein the series of MR images are MR images of an anatomical region at different points of time. For each pixel of a plurality of pixels in one of the series of motion corrected images, the method further includes generating a time series at the pixel based on the series of motion corrected images, fitting the time series to a model of the parameter, and estimating an indicator of goodness of fit of the time series to the model. The method also includes generating a metric indicating effectiveness of the motion correction based on estimated indicators of goodness of fit of the plurality of pixels, and validating the motion correction based on the metric.