Viscoelasticity parameter inversion method and related equipment

By equating the shear wave group velocity to the phase velocity anchor point under the zero-frequency limiting condition and combining it with the phase velocity dispersion curve in the mid-to-high frequency band for single-parameter fitting, the problems of insufficient parameter coupling and stability in the viscoelastic parameter inversion in the prior art are solved, thereby improving the accuracy and reliability of viscoelastic parameter inversion.

CN122115451AActive Publication Date: 2026-05-29XI AN JIAOTONG UNIV
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Patent Information

Application Number
CN202610576483.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-28
Publication Date
2026-05-29
Estimated Expiration
2046-04-28

AI Technical Summary

Technical Problem

In existing viscoelastic parameter inversion methods, the lack of low-frequency information leads to insufficient constraints on the rheological model by the phase velocity dispersion curve in the mid-to-high frequency range, resulting in severe parameter coupling, insufficient inversion stability, and low accuracy of viscoelastic parameter inversion.

Method used

The time-of-flight method is used to extract the shear wave group velocity, which is equivalent to the phase velocity anchor point under the zero-frequency limit condition. The two-dimensional fast Fourier transform is combined to extract the phase velocity dispersion curve in the mid-to-high frequency band. The rheological model is constrained based on the static shear modulus, and the viscosity coefficient is fitted by a single parameter.

Benefits of technology

By introducing constraint information from low-frequency responses, the degree of parameter coupling is reduced, improving the stability and accuracy of viscoelastic parameter inversion and enhancing the reliability of the inversion results.

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Abstract

The invention discloses a viscoelastic parameter inversion method, and belongs to the field of medical image processing and computational imaging. The method comprises the following steps: acquiring space-time image sequence data after a tested soft tissue is excited, extracting shear wave group velocity by adopting a time-of-flight method, and enabling the shear wave group velocity to be equivalent to a phase velocity anchor point under a zero-frequency limiting condition so as to determine a static shear modulus; adopting two-dimensional fast Fourier transform to extract a medium-high frequency band phase velocity frequency dispersion curve; and constraining a rheological model of the tested soft tissue based on the static shear modulus, and performing single parameter fitting on a viscosity coefficient in combination with the medium-high frequency band phase velocity frequency dispersion curve to obtain viscoelastic parameters.
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