Vascular Image Extraction and Labeling System

The patent applies segmentation by dividing the complex vascular structure into hierarchical segments - first separating blood vessels from other tissues, then further segmenting the vascular tree into individual vessels and their branches. This hierarchical segmentation reduces the complexity of identifying specific vessels by organizing them into manageable groups with distinct anatomical relationships.

The patent introduces an intermediary labeling system that assigns unique identifiers to blood vessels based on their anatomical position and relationships. This labeling intermediary translates complex spatial and anatomical information into simple, distinguishable labels, making it easier to identify and track specific vessels without requiring direct visual analysis of complex vascular structures.

The patent performs preliminary actions by automatically generating anatomical labels and organizing vascular structures before detailed analysis is needed. The system pre-processes the segmented vascular data to create labeled maps of blood vessels with their anatomical relationships established in advance, so that when a radiologist needs to identify a specific vessel, the work has already been substantially completed.

The patent implements self-service by enabling the imaging system to automatically perform the time-consuming tasks of vessel identification, labeling, and anatomical relationship mapping without requiring manual intervention. The system serves itself by using algorithmic methods to analyze and label vascular structures, eliminating the need for time-intensive manual tracing and annotation by radiologists.

The patent replaces the mechanical manual process of vessel identification and labeling with automated computational algorithms. Instead of radiologists manually tracing and labeling vessels, the system uses image processing algorithms to automatically segment, identify, and label blood vessels based on their anatomical features and spatial relationships, thereby maintaining accuracy while dramatically improving productivity.

The patent changes the parameters of the identification process by transitioning from human-performed manual labeling to computer-executed automated labeling. This parameter change involves transforming the task from a manual, time-intensive process to an automated, rapid process that uses computational methods to achieve comparable or superior accuracy in vessel identification and anatomical labeling.