Automated Analysis of Hepatic MR Elastography Images with Motion Artifacts and Signal Inhomogeneities

Keywords

abdominal able acquisition active additional affected agreement allow allowed analyzed appropriate artifact audience automated background bland blood body boundary calculating cause caused cavity characterization classification classify clinic clinical clinicians coil coils combined common comparable confidence considered construct contains contour contours contrast correct corrected correction currently dataset decreased defining determined developing deviation diagnose difficult discrepancy dispersion distorted driver edge encoded entire erosion even excluded failed fibrosis focally fully function functions graduate half hepatic highest highly illustrated improvement inhomogeneities inhomogeneity initial initialization initializations inside intensities intensity inter internal interval inversion involved iron largely layer leaking liver local locally magnitude many mask masks mayo mechanical membership middle minimal motion normalized organs original overlaid overlap overload previous previously proposed proved quantification reader readers refining removal remove ribs roughly scheme school segment segmentation sensitivity stage step stiffness stopped successfully superior taking targeted though thresholded tissue tissues underestimation variability vessel vessels volume wave waves whose wide yield