OCT-Based FFR Estimation Using MLA and Branch-Specific Parameters

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Solution Overview

Problem

Current methods for diagnosing and monitoring coronary artery disease, such as angiography, face limitations in accurately measuring minimum lumen area (MLA) and predicting Fractional Flow Reserve (FFR) due to low spatial resolution, errors from X-ray projection angles, and failure to account for vessel dimensions and shape, leading to inadequate assessment of blood flow and pressure drops.

Innovation Solution

The use of optical coherence tomography (OCT) in conjunction with computational models to determine FFR by correlating MLA with FFR, accounting for branch-dependent hyperemic resistance and vessel type-specific parameters, enabling accurate measurement of vessel dimensions and flow dynamics to assess the physiological significance of lesions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If angiography is used to measure MLA, then the measurement can be obtained, but the spatial resolution is low (0.2-0.4 mm) leading to poor measurement precision

Engineering Contradiction:
ImproveMLA measurement precisionVSAvoidimaging system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces the mechanical/X-ray-based angiography imaging system with an optical coherence tomography (OCT) system that uses light waves to image coronary arteries. This substitution enables measurement precision of 10-20 micrometers, which is 10-20 times better than angiography's 0.2-0.4 mm resolution, while providing three-dimensional cross-sectional images of the vessel lumen and wall structure.

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

2Measurement precision

If simple linear regression is used to relate MLA and FFR, then the relationship can be established, but the prediction accuracy is poor

Engineering Contradiction:
ImproveFFR prediction accuracyVSAvoidmodeling complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent transforms the simple linear relationship between MLA and FFR into a sophisticated non-linear computational model that incorporates multiple parameters including vessel geometry, blood flow dynamics, pressure gradients, and lesion characteristics. This model uses three-dimensional OCT-derived anatomical data to calculate FFR values with significantly improved accuracy compared to simple regression approaches.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent transitions from two-dimensional angiographic projections to three-dimensional OCT imaging, enabling comprehensive visualization of vessel cross-sections, plaque morphology, and lumen geometry. This dimensional enhancement allows the computational model to account for complex spatial relationships and hemodynamic factors that cannot be captured by simple linear regression on 2D angiographic measurements.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

3Loss of information

If only minimum cross sectional area is measured, then the measurement is simple, but it is insufficient to characterize pressure drop across lesions with diffuse coronary disease

Engineering Contradiction:
Improvelesion characterization completenessVSAvoidimaging and analysis complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent divides the coronary artery into multiple cross-sectional segments along its length using OCT imaging. Instead of measuring only the minimum cross-sectional area, the system captures and analyzes the geometry, plaque composition, and lumen dimensions of numerous sequential vessel segments. This segmentation approach provides comprehensive information about diffuse coronary disease and enables accurate calculation of pressure drops across multiple lesions.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent transitions from single-point minimum area measurement to three-dimensional volumetric assessment of the entire vessel segment. OCT imaging provides cross-sectional area, circumference, wall thickness, and plaque burden measurements at multiple locations along the vessel, creating a comprehensive three-dimensional characterization that fully captures the extent and severity of diffuse coronary artery disease.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

4Reliability

If conventional angiography is used, then the assessment can be performed, but errors increase due to X-ray projection angles and shadowing effects

Engineering Contradiction:
Improvelesion assessment reliabilityVSAvoidprojection angle errors
Core Design Contradiction:
ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The patent replaces the X-ray projection system with an optical coherence tomography system that uses near-infrared light to image coronary arteries. OCT provides cross-sectional views of the vessel lumen and wall, eliminating the projection angle and shadowing artifacts that plague angiography. This substitution fundamentally removes the source of measurement errors related to X-ray geometry.

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

Solution Approach 2:

The patent creates accurate three-dimensional optical copies of the coronary artery structure using OCT imaging. These virtual cross-sectional images and three-dimensional reconstructions serve as precise digital models of the vessel anatomy, allowing for accurate measurement of lumen area, plaque volume, and wall thickness without the geometric distortions inherent in projected two-dimensional angiographic images.

Inventive Principle:
Principle #26Copying

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach provides more accurate and reliable FFR predictions, improving diagnostic accuracy and decision-making for stent placement or revascularization by accounting for the complex geometry and dynamics of coronary arteries, reducing errors associated with conventional methods.

Implementation Method 1

Optical coherence tomography (OCT) imaging, applied in combination with new clinical parameters based on advanced analysis of lesion morphology, has the potential to overcome many of the limitations of conventional measures of lesion severity based on angiography.

Methodology Applied
Scientific EffectOptical coherence tomography: Interference

Implementation Method 2

The relationship of these geometric measurements to ability of the artery to supply an adequate flow of blood to the myocardium when metabolic demands are high has been a long-standing area of investigation.

Methodology Applied
Scientific EffectPressure drop relationship: Pressure Drop

Data Source

PatentUS10648918B2Systems, methods and apparatus for determining a fractional flow reserve (FFR) based on the minimum lumen area (MLA) and the constant
Publication Date: 2020.05.12 LIGHTLAB IMAGING LLC
  • US10648918B2 patent drawing
  • US10648918B2 patent drawing
  • US10648918B2 patent drawing

AI summary

In one aspect, the invention relates to system comprising: a processor configured to receive a first optical coherence tomography (OCT) data set obtained during a pullback of a data collection probe along a first length of a first blood vessel; determine a minimum lumen area disposed along the first length using the first OCT data set; and determine a first FFR value along the first length based on the minimum lumen area. In one embodiment, the first FFR value is an estimated FFR. In another aspect, the invention relates to a method that includes measuring, using OCT, the area of a lumen of a vessel for which the vessel's FFR is to be determined; and calculating, using a computer, A2m/(A2m+k) or YA2min/(YA2min+k) as a FFR value. In one embodiment, k is about 0.7 mm2 and γ is patient-specific variable that depends on the coronary branch in which the images were obtained.