Abstract: An example for processing patient image data workflows can temporarily serially arrange a set of semantic labeling modules in a patient image data workflow pipeline responsive to receiving an event trigger. The example can also remove the set of modules from the patient image data workflow pipeline responsive to receiving an event completion trigger.

Abstract: The present discussion relates to patient image data workflows. One example can temporarily serially arrange a set of semantic labeling modules in a patient image data workflow pipeline responsive to receiving an event trigger. The example can also remove the set of modules from the patient image data workflow pipeline responsive to receiving an event completion trigger.

Abstract: This document discusses, among other things, systems and methods for segmenting and displaying blood vessels or other tubular structures in volumetric imaging data. The vessel of interest is specified by user input, such as by using a single point-and-click of a mouse or using a menu to select the desired vessel. A central vessel axis (CVA) or centerline path is obtained. A segmentation algorithm uses the centerline to propagate a front that collects voxels associated with the vessel. Re-initialization of the algorithm permits control parameter(s) to be adjusted to accommodate local variations at different parts of the vessel. Termination of the front occurs, among other things, upon vessel departure, for example, indicated by a speed of front evolution falling below a predetermined threshold.