Automated Multimodal Plaque Analysis for Composition and Stability
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Solution Overview
Problem
Current methods for plaque identification, composition analysis, and stability detection in cardiovascular and cerebrovascular diseases rely heavily on manual processing and subjective analysis, leading to inefficiencies and low accuracy.
Innovation Solution
An intelligent plaque processing system utilizing multi-modal image analysis and machine learning algorithms, including plaque segmentation, composition probability mapping, and stability detection, to provide objective and accurate quantification of plaque characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual processing and subjective analysis are used for plaque identification and composition analysis, then the system is simple and easy to operate, but the accuracy and efficiency are low
Solution Approach 1:
The patent replaces manual mechanical analysis with an intelligent processing system that automatically performs plaque identification, composition analysis, and stability detection through image processing algorithms, thereby improving accuracy while maintaining ease of operation through automated workflows
Solution Approach 2:
The system enables self-service processing where the computational algorithms automatically analyze medical images without requiring manual intervention for measurement and interpretation, allowing the system to perform plaque characterization independently while providing objective quantification
2Productivity
If manual processing methods are used, then the system is simple, but the work efficiency is low and heavily relies on doctor's experience
Solution Approach 1:
The patent substitutes manual doctor analysis with automated intelligent processing that performs plaque identification, composition analysis, and stability detection through computational algorithms, significantly improving productivity while reducing dependence on individual doctor experience
Solution Approach 2:
The system introduces an intermediary intelligent processing layer between image acquisition and clinical decision-making, where automated algorithms objectively analyze plaque characteristics and provide quantification results that assist doctors rather than replace clinical judgment
3Measurement precision
If single data source is used for plaque vulnerability judgment, then the system is simple, but the accuracy is low
Solution Approach 1:
The patent merges multiple data sources including different imaging sequences and plaque characteristics into a unified analysis framework, combining multiple features to comprehensively assess plaque vulnerability and improve judgment accuracy through multi-parametric evaluation
Data Source
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AI summary
The embodiments of the present disclosure provides methods for processing a plaque implemented on at least one machine each of which has at least one processor and at least one storage device for The method may include: obtaining a plurality of images corresponding to a target vessel; processing the plurality of images; and determining plaque information based on a processing result. The plaque information may include at least one of an identification result of a target plaque, plaque composition distribution, or a detection result of plaque stability.