4D-Flow MRI Processing for Unsteady Blood Flow Quantification

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Solution Overview

Problem

Current MRI techniques face challenges in visualizing dynamic flow parameters in regions of interest, particularly due to relative movement of tissues during scans, which can be obscured by contrast agents and do not accurately account for unsteady blood flow through heart valves.

Innovation Solution

The method involves processing 4D-Flow magnetic resonance images to convert velocity component images into vector fields, model anatomical structures, and calculate flow dynamics parameters like circulation and Reynolds stresses, allowing for visualization of fluid flow in 3D anatomical structures without the need for chemical contrast agents.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Illumination intensity

If contrast agents are injected to highlight moving tissues during MRI scan, then image contrast is improved, but chemical composition and safety are worsened

Engineering Contradiction:
Improveimage contrastVSAvoidchemical composition
Core Design Contradiction:
Illumination intensityVSObject-affected harmful factors

Solution Approach 1:

The patent replaces chemical contrast agents with a magnetic field-based phase contrast technique. By encoding velocity information into the phase of the MRI signal through magnetic field gradients, the system achieves tissue highlighting and flow visualization without chemical substances, thereby eliminating the harmful chemical factors while maintaining improved image contrast for moving tissues.

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

2Reliability

If phase contrast MRI techniques are used to quantify fluid flow, then movement accounting is improved, but processing complexity is worsened

Engineering Contradiction:
Improvemovement accountingVSAvoidprocessing complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the complex 4D flow data into distinct components: velocity component images (Xu, Xv, Xw) and anatomical magnitude images. By separating these components and processing them independently through specific algorithms, the system reduces the complexity of handling the complete flow field while maintaining accurate movement accounting and flow quantification capabilities.

Inventive Principle:
Principle #1Segmentation

3Loss of information

If 4D-Flow MRI data is processed to generate velocity vector fields, then flow dynamics visualization is improved, but computation time is worsened

Engineering Contradiction:
Improveflow dynamics visualizationVSAvoidcomputation time
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

The patent performs preliminary processing by converting velocity component images into velocity vector fields and generating anatomical wall models before final flow dynamics analysis. These pre-computed structures serve as ready-to-use inputs for subsequent flow calculations, reducing the overall computation time required for complete flow dynamics visualization while preserving comprehensive flow information.

Inventive Principle:
Principle #10Preliminary action

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 enables accurate visualization and quantification of fluid flow dynamics, improving the diagnosis and treatment of conditions such as pulmonary valve stenosis by providing detailed pressure drop estimates through the use of Bernoulli's equation, accounting for both downstream and upstream velocities and the unsteady nature of blood flow.

Implementation Method 1

Magnetic Resonance Imaging ('MRI') refers to a medical imaging technique that utilizes strong magnetic fields to safely scan body tissues and generate two- and three-dimensional images of those tissues. Through the precise application of magnetic fields and radio signals, an MRI scan produces a series of image 'slices'

Methodology Applied
Scientific EffectMagnetic resonance: Electromagnetic Induction

Implementation Method 2

PC MRI techniques are capable of quantifying fluid flow by encoding velocity information into the phase of an MRI signal. Modern PC techniques can encode three-dimensional ('3D') velocity data, along with signal intensity and temporal data, into a given MR image slice.

Methodology Applied
Scientific EffectPhase contrast encoding: Doppler Effect

Implementation Method 3

converting the at least one image into a velocity vector field

Methodology Applied
Scientific EffectVector field transformation:

Implementation Method 4

providing detailed pressure drop estimates through the use of Bernoulli's equation, accounting for both downstream and upstream velocities and the unsteady nature of blood flow

Methodology Applied
Scientific EffectBernoulli's equation: Bernoulli Effect

Data Source

PatentUS10134127B2Method for post-processing flow-sensitive phase contrast magnetic resonance images
Publication Date: 2018.11.20 RGT UNIV OF CALIFORNIA
  • US10134127B2 patent drawing
  • US10134127B2 patent drawing
  • US10134127B2 patent drawing

AI summary

A method for generating fluid flow images of a region of interest is disclosed. The method includes: scanning the region of interest to acquire a set of 4D-Flow magnetic resonance images, wherein the set comprises an anatomical magnitude image, a first velocity component image, a second velocity component image, and a third velocity component image; isolating the anatomical magnitude image, the first velocity component image, the second velocity component image, and the third velocity component image from the set of 4D-Flow magnetic resonance images; converting the first, second, and third velocity component images into a velocity vector field; modeling a location of an anatomical wall within the region of interest; calculating at least one flow dynamics parameter for the region of interest; and generating a visual representation of the anatomical wall and the at least one flow dynamics parameter.