Abstract: Various methods and systems are provided for determining and characterizing features of an anatomical structure from a medical image. In one example, a method comprises acquiring a plurality of medical images over time during an exam, registering the segmented anatomical structure between the plurality of medical images, segmenting an anatomical structure in a one of the plurality of medical images after registering the plurality of medical images, creating and characterizing a reference region of interest (ROI) in each of the plurality of medical images, determining characteristics of the anatomical structure by tracking pixel values of the segmented and registered anatomical structure over time, and outputting the determined characteristics on a display device.

Abstract: Various methods and systems are provided for determining and characterizing features of an anatomical structure from a medical image. In one example, a method comprises acquiring a plurality of medical images over time during an exam, registering the segmented anatomical structure between the plurality of medical images, segmenting an anatomical structure in a one of the plurality of medical images after registering the plurality of medical images, creating and characterizing a reference region of interest (ROI) in each of the plurality of medical images, determining characteristics of the anatomical structure by tracking pixel values of the segmented and registered anatomical structure over time, and outputting the determined characteristics on a display device.

Abstract: A method of displaying image data for a tissue of an organ includes acquiring a three-dimensional (3D) projection dataset using a Computed Tomography (CT) imaging system, performing a segmentation of the 3D projection dataset that includes a plurality of voxels, performing a perfusion viability cluster analysis to identify myocardium voxels, grouping the myocardium voxels into viable clusters and non-viable clusters based on a density and a location of the myocardium voxels, and generating an image of the myocardium and a coronary tree using the viable clusters and the non-viable clusters. An imaging system and a non-transitory computer readable medium are also described herein.

Abstract: A method of displaying image data for a tissue of an organ includes acquiring a three-dimensional (3D) projection dataset using a Computed Tomography (CT) imaging system, performing a segmentation of the 3D projection dataset that includes a plurality of voxels, performing a perfusion viability cluster analysis to identify myocardium voxels, grouping the myocardium voxels into viable clusters and non-viable clusters based on a density and a location of the myocardium voxels, and generating an image of the myocardium and a coronary tree using the viable clusters and the non-viable clusters. An imaging system and a non-transitory computer readable medium are also described herein.