Abstract: Systems, methods, and apparatus to generate and utilize predictive workflow analytics and inferencing are disclosed and described. An example apparatus includes an algorithm orchestrator to analyze medical data and associated metadata and select an algorithm based on the analysis. The example apparatus includes a postprocessor to execute the algorithm with respect to the medical data using one or more processing elements. In the example apparatus, the one or more processing elements are to be dynamically selected and arranged in combination by the algorithm orchestrator to implement the algorithm for the medical data, the postprocessor to output a result of the algorithm for action by the algorithm orchestrator.

Abstract: Systems, methods, and apparatus to generate and utilize predictive workflow analytics and inferencing are disclosed and described. An example apparatus includes an algorithm orchestrator to analyze medical data and associated metadata and select an algorithm based on the analysis. The example apparatus includes a postprocessor to execute the algorithm with respect to the medical data using one or more processing elements. In the example apparatus, the one or more processing elements are to be dynamically selected and arranged in combination by the algorithm orchestrator to implement the algorithm for the medical data, the postprocessor to output a result of the algorithm for action by the algorithm orchestrator.

Abstract: A system and method for segmentation of anatomical structures in MRI volumes using graph cuts is disclosed. In this method, a template is registered to an MRI brain volume. The template identifies seed points of anatomical brain structures, such as the cerebrum, the cerebellum, and the brain stem, in the MRI brain volume. Any or all of the anatomical brain structures can be segmented using graph cuts segmentation initialized based on the seed points identified by the template. It is possible to segment each of the anatomical brain structures by performing a hierarchical three-phase segmentation process including brain/non-brain segmentation, cerebrum/cerebellum and brain stem segmentation, and cerebellum/brain stem segmentation.

Abstract: A method for suppressing tagged material in prepless colonoscopy includes identifying and segmenting multiple density classes, intensity classes, or both in a volumetric medical image of a patient including a volume of the patient's colon and classifying the volume of the patient's colon into a plurality of types based upon the identified and segmented density classes, intensity classes, or both. The method further includes subtracting, suppressing, or leaving the tagged material in the image in accordance with the type classifications to produce a resulting image and visualizing the resulting image.

Abstract: A method for suppressing tagged material in prepless colonoscopy includes identifying and segmenting multiple density classes, intensity classes, or both in a volumetric medical image of a patient including a volume of the patient's colon and classifying the volume of the patient's colon into a plurality of types based upon the identified and segmented density classes, intensity classes, or both. The method further includes subtracting, suppressing, or leaving the tagged material in the image in accordance with the type classifications to produce a resulting image and visualizing the resulting image.

Abstract: A system and method for segmentation of anatomical structures in MRI volumes using graph cuts is disclosed. In this method, a template is registered to an MRI brain volume. The template identifies seed points of anatomical brain structures, such as the cerebrum, the cerebellum, and the brain stem, in the MRI brain volume. Any or all of the anatomical brain structures can be segmented using graph cuts segmentation initialized based on the seed points identified by the template. It is possible to segment each of the anatomical brain structures by performing a hierarchical three-phase segmentation process including brain/non-brain segmentation, cerebrum/cerebellum and brain stem segmentation, and cerebellum/brain stem segmentation.