Abstract: For a given MR image having an anatomical landmark and a frame of reference, a method includes automatically selecting one or more series of MR images from a plurality of series of MR images previously acquired and having the anatomical landmark and the frame of reference. The method includes automatically selecting one or more candidate groups from the one or more series of MR images that were selected, wherein selection of the one or more candidate groups is based on predetermined rules. The method includes automatically selecting a respective reference image from each candidate group, wherein selection of each respective reference image is based on the predetermined rules. The method further includes automatically displaying the respective reference image selected for each candidate group, wherein each respective reference image is displayed in reference viewports on a user interface on a display based on the predetermined rules.

Abstract: A computer-implemented method for estimating cartilage includes pre-processing, via a processor, a segmented image of region of interests (ROIs) of a subject to separate the ROIs into individual ROI volumes, wherein the ROI volumes comprise at least one cartilage region. The computer-implemented method also includes performing, via the processor, surface separation between a respective subchondral surface and a respective articular surface for each ROI volume to extract a respective separate subchondral surface and a respective separate articular surface for each ROI volume. The computer-implemented method further includes estimating, via the processor, cartilage statistics for the at least one cartilage region utilizing a nearest neighbor algorithm based on the respective separate subchondral surface and the respective separate articular surface for each ROI volume.

Abstract: A computer-implemented method for estimating cartilage includes pre-processing, via a processor, a segmented image of region of interests (ROIs) of a subject to separate the ROIs into individual ROI volumes, wherein the ROI volumes comprise at least one cartilage region. The computer-implemented method also includes performing, via the processor, surface separation between a respective subchondral surface and a respective articular surface for each ROI volume to extract a respective separate subchondral surface and a respective separate articular surface for each ROI volume. The computer-implemented method further includes estimating, via the processor, cartilage statistics for the at least one cartilage region utilizing a nearest neighbor algorithm based on the respective separate subchondral surface and the respective separate articular surface for each ROI volume.