Vascular Tree Visualization via Center Line Projection
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Solution Overview
Problem
Conventional methods for two-dimensional visualization of vascular trees from tomography data often result in loss of clarity or only partial representation, failing to effectively depict complex vascular systems in a comprehensive and unobstructed manner.
Innovation Solution
A method that segments tomography data into regions of adjacent curve lines, shapes inlets between these lines, and adapts representation data to arrange them in a planar manner, enabling a comprehensive two-dimensional visualization of complex vascular trees by deriving visualization command data for a whole vascular tree, rather than segmenting it.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional presentation methods are used for two-dimensional visualization of vascular trees, then the visualization can be generated quickly, but only a defined section of the total information content is returned resulting in loss of clarity or partial representation
Solution Approach 1:
The vascular tree is segmented into multiple branches, each represented by a center line. The method divides the complex three-dimensional vascular structure into manageable two-dimensional projections along each center line, allowing comprehensive representation without information loss while maintaining organizational simplicity
Solution Approach 2:
The invention transforms three-dimensional vascular tree data into two-dimensional visualizations by projecting along center lines. This dimensionality reduction is achieved through intelligent sampling and projection techniques that preserve topological relationships and information content while enabling clear two-dimensional presentation
2Adaptability or versatility
If multi-path CPR method is used to unfold vascular tree along center lines, then a schematic representation is generated, but the method is especially more suitable for less complex vascular trees and returns only a defined section
Solution Approach 1:
The method is designed to handle both simple and complex vascular trees universally. It can process various vascular structures (pulmonary, coronary, peripheral) using the same core algorithm of center line extraction and projection, making it adaptable to different complexity levels while maintaining complete information representation
Solution Approach 2:
The vascular tree is pre-processed to extract center lines and establish topological relationships before visualization. This preliminary structuring of the data allows the method to efficiently handle complex vascular systems by organizing the information in advance, enabling comprehensive representation without information loss
Data Source
AI summary
In a computerized method and system to generate visualization command data for two-dimensional visualization of a vascular tree of a vascular system from tomography data acquired via an imaging system, tomography data of the vascular tree are registered in the form of prepared tomography data that include acquired tomography data of the vascular tree in which said vascular tree is segmented at least in a region of surrounding structures, and in which are present a number of curve lines of vessels of the vascular tree that branch with one another. Inlets are shaped between curve lines that are adjacent and/or connected with one another via node points. Representation data are generated in which the inlets are arranged flat, adjoining one another in a two-dimensional presentation plane. The visualization command data are derived from the representation data and presented as an output.