Ultrasound Imaging Algorithm for Complex Defect Detection

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Solution Overview

Problem

Current two-dimensional Fourier transform ultrasound imaging methods struggle with image quality when dealing with complex defects, such as extended or flat defects, and those near the edges of objects, due to simplified assumptions about backscattering and propagation modes.

Innovation Solution

The method incorporates parameters characterizing changes in propagation mode and reflection effects during backscattering by adding a parameter or phase shift term to the matrix transformation equations, allowing for improved image quality through bilinear interpolation and inverse Fourier transformation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Speed

If simplified assumptions about backscattering and propagation modes are used in two-dimensional Fourier transform ultrasound imaging, then the algorithmic complexity is reduced and processing speed is improved, but the image quality deteriorates when dealing with complex defects such as extended or flat defects near the edges of objects

Engineering Contradiction:
Improveprocessing speedVSAvoidimage quality
Core Design Contradiction:
SpeedVSMeasurement precision

Solution Approach 1:

The patent modifies the imaging algorithm by changing the mathematical parameters in the matrix transformation equations. Specifically, it updates the relationship between spatial frequencies and wave numbers to account for mode conversion effects, where longitudinal waves convert to transverse waves during backscattering. This parameter change allows the algorithm to accurately model complex defect interactions while maintaining computational efficiency through the preserved Fourier transform framework.

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If parameters characterizing changes in propagation mode and reflection effects are incorporated into the matrix transformation equations, then the detection and visualization of complex defects is improved, but the algorithmic complexity increases

Engineering Contradiction:
Improvedefect detection accuracyVSAvoidalgorithmic complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent introduces an intermediary mathematical transformation that bridges the simplified Fourier transform approach and the complex physical reality of mode conversion. By incorporating phase shift terms as intermediaries in the matrix transformation equations, the algorithm can account for reflection effects and propagation mode changes without requiring a complete reformulation of the imaging methodology. This intermediary approach adds necessary physical accuracy while avoiding the full complexity of wavefield simulation.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Measurement precision

If phase shift terms are added to the matrix transformation relation to account for reflection against walls, then the visualization of defects near edges is improved, but the computational load increases

Engineering Contradiction:
Improveedge defect visualizationVSAvoidcomputational energy
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The patent applies preliminary phase correction to the spectral data before performing the inverse Fourier transform. By pre-calculating and applying phase shift terms that account for wall reflections and mode conversions, the algorithm prepares the data in advance to produce accurate images of edge defects. This preliminary action ensures that the main computational step (inverse Fourier transform) operates on pre-corrected data, minimizing the need for iterative corrections and reducing overall computational energy consumption.

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 enhances the detection, localization, and visualization of complex defects without increasing algorithmic complexity, providing clearer images of extended or flat defects near the edges of objects.

Implementation Method 1

control of L transmission transducers for M successive transmissions of ultrasonic waves

Methodology Applied
Scientific EffectUltrasonic wave propagation: Sound

Implementation Method 2

measuring in particular echoes due to backscattering of said each transmission in the object

Methodology Applied
Scientific EffectBackscattering: Scattering

Implementation Method 3

row and column two-dimensional Fourier transform of each matrix MRm to obtain M spectral matrices FTMRm

Methodology Applied
Scientific EffectFourier transform:

Implementation Method 4

application of a bilinear interpolation by means of a system of equations of change of reference frame

Methodology Applied
Scientific EffectBilinear interpolation:

Implementation Method 5

two-dimensional inverse Fourier transformation in rows and columns of the resulting spectral image FTI to obtain an ultrasound image I of the object

Methodology Applied
Scientific EffectInverse Fourier transformation:

Data Source

PatentUS12038410B2Method for ultrasound imaging using two-dimensional Fourier transform, corresponding computer program and ultrasound probe device
Publication Date: 2024.07.16 COMMISSARIAT A LENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
  • US12038410B2 patent drawing
  • US12038410B2 patent drawing
  • US12038410B2 patent drawing

AI summary

This two-dimensional Fourier transform ultrasound imaging method includes by controlling transmitting and receiving transducers: obtaining M matrices MRm, 1≤m≤M, of sampled ultrasonic time signals; two-dimensional Fourier transforming each matrix MRm to obtain M spectral matrices FTMRm; converting each spectral matrix FTMRm to obtain M spectral images FTIm; combining the M spectral images FTIm and two-dimensional inverse Fourier transforming the resulting spectral image FTI to obtain an ultrasound image I. The conversion includes taking into account a change of propagation mode during a backscatter, by adding a parameter characterizing this change of mode in equations (SYS) of change of reference frame, and/or taking into account a reflection against a wall, by adding a phase shift term in a relation (REL) of matrix transformation.