Overlay-Based Tissue-Vessel Representation for Coronary Disease Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for analyzing coronary artery disease data are time-consuming and require manual integration of information from different sources, lacking an effective visualization that integrates vessel-related quantitative information with tissue-related quantitative information.
Innovation Solution
A computer-implemented method for generating a combined tissue-vessel representation by overlaying color-encoded quantitative information of vessels, such as plaque composition, over a tissue representation, using imaging data to facilitate an integrated visualization of coronary arteries and heart physiology.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If manual integration of information from different sources is performed, then comprehensive analysis of coronary artery disease data is achieved, but time consumption increases and diagnostic efficiency decreases
Solution Approach 1:
The patent combines vessel representation and tissue representation into a single integrated combined tissue-vessel representation. This merging eliminates the need for manual integration of separate imaging data sources, allowing radiologists to view all relevant information (vessel anatomy, plaque composition, tissue characteristics) in one unified visualization, thereby reducing time loss while maintaining complete information integration.
2Measurement precision
If separate visualization of vessel and tissue data is used, then detailed analysis of each component is possible, but correlation between vessel and tissue information becomes difficult
Solution Approach 1:
The patent overlays the vessel representation (showing plaque composition) directly onto the tissue representation (showing ventricle wall thickening) in a combined visualization. This merging maintains the detailed quantitative information of both vessel and tissue separately while simultaneously displaying their spatial correlation, allowing radiologists to see both detailed measurements and their relationships in context.
Solution Approach 2:
The patent uses color encoding to represent quantitative information from both vessel and tissue data dimensions within the same visual space. By mapping quantitative measurements to color intensities or hues, the patent adds an informational dimension that allows multiple data types to be displayed simultaneously without obscuring the underlying anatomical structures, preserving both detail accuracy and correlation information.
3Loss of information
If multiple imaging data sources are integrated manually, then comprehensive diagnostic information is obtained, but the complexity of the analysis process increases
Solution Approach 1:
The system automatically performs the integration of multiple imaging data sources without requiring manual intervention. The computer system retrieves, processes, and combines vessel and tissue imaging data autonomously, generating the combined representation automatically. This self-service approach maintains complete information integration while eliminating the procedural complexity that would otherwise require manual radiologist intervention.
4Measurement precision
If quantitative information from multiple sources is displayed separately, then each data type can be analyzed in detail, but the overall diagnostic picture becomes fragmented
Solution Approach 1:
The patent merges separate quantitative visualizations into a unified combined tissue-vessel representation where vessel quantitative data (plaque composition) and tissue quantitative data (ventricle wall thickening) are displayed together in their correct anatomical context. This integration maintains the precision of quantitative measurements while making the overall diagnostic picture coherent and easy to interpret, eliminating fragmentation.
Solution Approach 2:
The patent employs color encoding to represent quantitative information from both vessel and tissue sources within the combined visualization. Different color schemes or color intensities indicate different quantitative values, allowing radiologists to perceive detailed measurements accurately while maintaining an integrated visual overview that is easy to interpret at a glance.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
In one aspect the invention relates to a computer-implemented method for generating a combined tissue-vessel representation, comprising: - Receiving imaging data of a tissue, - Receiving imaging data of a vessel, - Generating a tissue representation based on the imaging data of the tissue, - Generating a vessel representation based on the imaging data of the vessel, - Generating a combined tissue-vessel representation based on the vessel representation and the tissue representation, wherein the vessel representation is overlaid over the tissue representation.