Non-invasive Coronary Flow Simulation via Feedback Control

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Solution Overview

Problem

Current imaging techniques provide limited functional assessment of coronary circulation, lacking non-invasive methods to determine coronary circulation parameters during rest and hyperemic states, which are crucial for diagnosis and treatment.

Innovation Solution

A non-invasive approach using a feedback control system and iterative parameter estimation framework, based on anatomical models of the coronary tree derived from imaging, adjusts boundary conditions to match rest state measurements, allowing for simulations of hyperemic states to determine coronary flow and pressure.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If invasive measures are taken to obtain functional assessment of coronary tree, then measurement precision is improved, but patient risk and invasiveness worsen

Engineering Contradiction:
Improvefunctional assessment accuracyVSAvoidpatient risk
Core Design Contradiction:
Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The patent replaces invasive mechanical measurement systems with a non-invasive computational fluid dynamics model that uses imaging data and boundary conditions to simulate coronary flow and pressure, eliminating the need for invasive catheter-based measurements while providing functional assessment

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces a computational model as an intermediary between imaging data and functional assessment, using a feedback control system with controllers to iteratively adjust boundary conditions and match measured data, thereby obtaining functional parameters without direct invasive measurement

Inventive Principle:
Principle #24Intermediary (Mediator)

2Object-affected harmful factors

If non-invasive imaging is used, then patient risk is reduced, but functional assessment capability deteriorates

Engineering Contradiction:
Improvepatient riskVSAvoidfunctional assessment capability
Core Design Contradiction:
Object-affected harmful factorsVSMeasurement precision

Solution Approach 1:

The patent implements a feedback control system where controllers continuously compare simulated output variables (flow, pressure) with measured patient data and adjust boundary conditions accordingly, enabling the non-invasive model to achieve functional assessment accuracy comparable to invasive methods

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent performs preliminary determination of rest boundary conditions from non-invasive imaging and measurements before simulating hyperemic states, allowing the system to establish accurate baseline parameters that enable subsequent functional assessment without invasive procedures

Inventive Principle:
Principle #10Preliminary action

3Measurement precision

If detailed functional assessment is obtained, then diagnostic accuracy is improved, but measurement complexity worsens

Engineering Contradiction:
Improvediagnostic accuracyVSAvoidmeasurement complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the measurement process into distinct components: determining rest boundary conditions from imaging, implementing a feedback control system for rest state simulation, adjusting boundary conditions for hyperemia, and performing flow computation, thereby managing complexity through structured modular steps

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS10622110B2Framework for personalization of coronary flow computations during rest and hyperemia
Publication Date: 2020.04.14 SIEMENS HEALTHINEERS AG
  • US10622110B2 patent drawing
  • US10622110B2 patent drawing
  • US10622110B2 patent drawing

AI summary

Embodiments relate to non-invasively determining coronary circulation parameters during a rest state and a hyperemic state for a patient. The blood flow in the coronary arteries during a hyperemic state provides a functional assessment of the patient's coronary vessel tree. Imaging techniques are used to obtain an anatomical model of the patient's coronary tree. Rest boundary conditions are computed based on non-invasive measurements taken at a rest state, and estimated hyperemic boundary conditions are computed. A feedback control system performs a simulation matching the rest state utilizing a model based on the anatomical model and a plurality of controllers, each controller relating to respective output variables of the coronary tree. The model parameters are adjusted for the output variables to be in agreement with the rest state measurements, and the hyperemic boundary conditions are accordingly adjusted. The hyperemic boundary conditions are used to compute coronary flow and coronary pressure variables.