Coronary Image Analysis for Blood Supply-Demand Assessment
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Solution Overview
Problem
Current diagnostic methods for coronary artery disease focus on anatomical obstructions without adequately assessing the relationship between coronary blood supply and myocardial demand, leading to improper or inadequate diagnoses and unnecessary invasive treatments.
Innovation Solution
Systems and methods to determine the relationship between coronary blood supply and myocardial demand by using patient-specific models and imaging data to calculate supply-to-demand ratios, which are then compared to population norms and used to refine blood flow simulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If invasive assessments are used to assess coronary artery disease, then diagnostic accuracy is improved, but patient risk and procedural complexity increase
Solution Approach 1:
The patent replaces invasive mechanical assessment procedures with noninvasive image processing and computational analysis. By using automated detection of coronary artery anomalies in medical images and computing supply-to-demand ratios through software algorithms, the system achieves accurate diagnosis without requiring invasive catheterization or surgical procedures, thereby maintaining diagnostic precision while eliminating procedural complexity and patient risk
Solution Approach 2:
The patent introduces an intermediary computational system that processes medical images and calculates coronary blood supply metrics. This intermediary layer between image acquisition and clinical diagnosis enables accurate assessment of coronary artery disease through automated anomaly detection and supply-demand ratio computation, replacing the need for direct invasive measurement while preserving diagnostic accuracy
2Measurement precision
If invasive assessments are used to assess coronary artery disease, then diagnostic accuracy is improved, but patient risk increases
Solution Approach 1:
The patent substitutes invasive mechanical procedures with noninvasive image-based computational methods. By detecting coronary artery anomalies through automated image analysis and calculating supply-to-demand ratios using software, the system achieves accurate diagnosis without exposing patients to the risks associated with invasive catheterization, surgery, or contrast dye injection
Solution Approach 2:
The patent creates a virtual computational model of the coronary artery system by processing medical images. This digital copy allows for accurate assessment of blood supply and demand relationships without requiring physical intervention in the patient's body, thereby eliminating patient risk while maintaining diagnostic accuracy through virtual simulation and analysis
3Ease of operation
If anatomical obstruction assessment is used, then diagnostic simplicity is maintained, but diagnostic accuracy deteriorates
Solution Approach 1:
The patent segments the diagnostic process into distinct automated components: anomaly detection in coronary arteries, calculation of blood supply metrics, computation of supply-to-demand ratios, and comparison with reference values. This segmentation allows the complex assessment to be performed automatically through software, maintaining ease of operation while achieving high diagnostic accuracy through systematic analysis of multiple parameters
Solution Approach 2:
The patent implements self-service through automated image processing algorithms that independently detect coronary artery anomalies, calculate blood supply metrics, and determine supply-to-demand ratios without requiring manual measurement or complex physician calculations. The system automatically compares results against reference values and generates diagnostic conclusions, maintaining simplicity for the user while achieving high accuracy through sophisticated computational analysis
Data Source
AI summary
Systems and methods are disclosed for to determining a blood supply and blood demand. One method includes receiving a patient-specific model of vessel geometry of at least a portion of a coronary artery, wherein the model is based on patient-specific image data of at least a portion of a patient's heart having myocardium; determining a coronary blood supply based on the patient-specific model; determining at least a portion of the myocardium corresponding to the coronary artery; determining a myocardial blood demand based on either a mass or a volume of the portion of the myocardium, or based on perfusion imaging of the portion of the myocardium; and determining a relationship between the coronary blood supply and the myocardial blood demand.