Personalizing Blood Flow Simulations with Invasive Measurements
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Solution Overview
Problem
Current computational models for simulating blood flow in cardiovascular systems rely on assumptions that may not hold for all patients, particularly in cases with microvascular disease, leading to mismatches between true and computed hemodynamic indices, which can result in inaccurate assessments of cardiovascular disease severity.
Innovation Solution
A method and system that combines computational modeling techniques with invasive physiological measurements to personalize blood flow simulations in patient-specific anatomical models, allowing for more accurate estimation of hemodynamic quantities of interest by reducing reliance on population-based assumptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If population average assumptions are used for personalization procedure, then device complexity is reduced, but measurement precision deteriorates due to mismatches in individual patient cases
Solution Approach 1:
The patent changes the parameters used in personalization from population average assumptions to patient-specific invasive physiological measurements. By measuring actual pressure, flow, and resistance values in the patient's cardiovascular system, the model parameters are adjusted to reflect individual variations, thereby improving measurement precision without excessive complexity increase
Solution Approach 2:
The patent implements feedback by comparing computed hemodynamic indices with invasively measured values and iteratively adjusting model parameters. This closed-loop approach allows the personalization procedure to converge on accurate patient-specific parameters while maintaining computational efficiency, resolving the contradiction between complexity and precision
2Measurement precision
If multiple invasive measurements are performed to improve model accuracy, then measurement precision improves, but object-affected harmful factors increase due to patient risks
Solution Approach 1:
The patent applies partial action by selectively performing only the minimum necessary invasive measurements required to constrain the computational model adequately. Rather than comprehensively measuring all possible physiological parameters, the method identifies key measurements (pressure, flow, resistance) that provide sufficient constraint to achieve accurate personalization with reduced patient exposure to invasive procedure risks
Data Source
AI summary
A method and system for simulating blood flow in a vessel of a patient to estimate hemodynamic quantities of interest using enhanced blood flow computations based on invasive physiological measurements of the patient is disclosed. Non-invasive patient data including medical image data is received and a patient-specific anatomical model the patient's vessels is generated. Invasive physiological measurements of the patient are received and a computational blood flow model is personalized using the invasive physiological measurements. Blood flow is simulated in the patient-specific anatomical model and one or more hemodynamic quantities of interest are computed using the personalized computational blood flow model.