Vascular Blood Flow Pattern Analysis Method
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Solution Overview
Problem
Current methods for visualizing and quantifying vascular blood flow patterns are limited in conveying detailed information about flow amount, speed, and turbulence, especially in occluded regions, and lack the ability to generate quantitative data plots for further analysis.
Innovation Solution
A method that involves obtaining 3D flow data, constructing a coordinate frame of reference within the vascular region, and decomposing the data to create quantitative 2D plots, allowing for the visualization and quantification of vascular blood flow patterns by computing streamlines or pathlines and visualizing their intersections with sample planes, while accommodating anomalies like aneurysms with appropriate coordinate frames.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional visualization methods (animated arrows, color mapping) are used to display blood flow, then the visualization is simple and easy to understand, but the ability to convey detailed quantitative information about flow amount, speed, and turbulence is limited
Solution Approach 1:
The patent segments the 4D blood flow data into multiple 2D quantitative plots, each representing a specific aspect (flow amount, speed, turbulence) at different locations and times. This segmentation allows detailed quantitative information to be conveyed through multiple simplified plots rather than a single complex visualization.
Solution Approach 2:
The patent transforms 4D blood flow data (3D space over time) into 2D quantitative plots. By reducing dimensionality, the complex 4D data is represented through multiple 2D graphs that can be easily interpreted, converting spatial-temporal information into quantifiable metrics.
2Measurement precision
If 4D vector flow field data is visualized using animated arrows, then general flow impressions can be obtained, but quantitative data about flow amount, speed, and turbulence in sub-regions cannot be extracted
Solution Approach 1:
The patent extracts quantitative measurements (flow amount, speed, turbulence) from the 4D blood flow data at specific locations and times, creating 2D plots that represent these extracted values. This extraction enables precise measurement while maintaining ease of analysis through simplified plot representations.
Solution Approach 2:
The patent introduces 2D quantitative plots as an intermediary between the complex 4D blood flow data and the user's analysis needs. These plots serve as a mediator that simplifies the data while preserving quantitative information, making the data both measurable and easy to analyze.
3Loss of information
If quantitative data plots are generated from blood flow data, then detailed flow information can be conveyed, but the complexity of data processing and visualization increases
Solution Approach 1:
The patent segments the complex 4D blood flow data into multiple manageable 2D quantitative plots, each representing a specific aspect. This segmentation reduces the complexity of processing and visualization by breaking down the data into discrete, interpretable components.
Solution Approach 2:
The patent reduces the dimensionality of 4D blood flow data into 2D plots, simplifying the data structure. This dimensional reduction makes the data easier to process and visualize while preserving the essential quantitative information needed for analysis.
Data Source
AI summary
A method (100) of computing and displaying flow information of vascular blood flow patterns, especially in the form of quantitative data plots.