Cardiac Imaging Fusion for Comprehensive Myocardial Damage Detection
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Solution Overview
Problem
Conventional myocardial detection methods lack comprehensive assessment of myocardial structural and functional features, limiting accurate diagnosis and treatment planning.
Innovation Solution
A system for detecting myocardial damage using high-resolution cardiac imaging data, combining MRI and Doppler imaging, with feature extraction and analysis through anatomical and functional units, and a neural network model for quantitative assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional individual imaging techniques or physiological parameters are used for myocardial detection, then the detection method is simple, but the comprehensive assessment capability is insufficient
Solution Approach 1:
The patent combines multiple imaging techniques (MRI, Doppler imaging) and physiological parameters into a unified detection system. The image acquisition module integrates different imaging modalities to simultaneously capture structural and functional cardiac data, enabling comprehensive myocardial damage assessment that neither technique could achieve alone.
Solution Approach 2:
The detection system is designed with multi-functional capabilities to perform various types of myocardial assessment including infarction detection, contractility evaluation, and structural analysis. The system can adapt to different detection needs by processing both imaging data and physiological parameters through a unified analytical framework.
2Loss of information
If individual functional parameters are analyzed, then the analysis is focused and simple, but the overall cardiac health assessment is incomplete
Solution Approach 1:
The data processing module merges structural features extracted from MRI images with functional features from Doppler imaging and physiological parameters. This integration creates a comprehensive dataset that preserves all relevant information about myocardial damage while enabling holistic cardiac health assessment.
Solution Approach 2:
The feature extraction process is divided into distinct modules: structural feature extraction from imaging data, functional feature extraction from physiological parameters, and integrated analysis. This segmentation allows complex data to be processed systematically while maintaining complete information for overall assessment.
3Speed
If real-time myocardial contractility calculation is performed, then the detection speed is improved, but the comprehensive damage assessment capability is limited
Solution Approach 1:
The system performs preliminary processing of imaging data to pre-extract structural and functional features before final damage assessment. This preliminary action enables rapid real-time contractility calculation while the complete feature set remains available for comprehensive damage characterization when needed.
Solution Approach 2:
The detection system operates dynamically, providing real-time contractility monitoring for rapid assessment while maintaining the capability to perform comprehensive damage evaluation by integrating all extracted features. The system can switch between quick functional assessment and detailed structural-functional analysis based on clinical needs.
Data Source
AI summary
The present invention provides a system for detecting myocardial damage based on imaging characteristics, which comprises an image acquisition module, a feature extraction module, a data processing module, and a report generation module. The image acquisition module is configured to acquire high-resolution cardiac imaging data; the feature extraction module is configured to extract cardiac structural and functional feature information from the acquired imaging data; the data processing module is configured to analyze and identify myocardial damage based on the extracted feature information; the report generation module is configured to generate medical reports for physicians regarding myocardial damage. The present invention provides a more comprehensive and accurate assessment of myocardial damage by performing a comprehensive analysis of the patient's cardiac imaging data, thereby enhancing the accuracy and effectiveness of medical diagnosis.