Elasticity modulus reconstruction method and system for magnetic resonance elastography

Abstract

The invention provides elasticity modulus reconstruction method and system for magnetic resonance elastography. The method includes: assuming the surface of image issue as a plane domain, and solving by finite volume element algorithm to obtain a displacement initial value in the plane domain, displacement of subdomains in the plane domain, and derivatives of the displacement to unknown elasticity modulus; subjecting the displacement and derivatives obtained by solving by the finite volume element algorithm to Newton iteration to obtain an elasticity modulus value, and stopping Newton iteration until an optimization problem square difference corresponding to the elasticity modulus value is smaller than a preset tolerated error and a preset number of iterations reaches; and composing the elasticity modulus values obtained by final iteration into elasticity modulus distribution of the image tissue. Calculated amount can be reduced by the use of the method and system.

Description

technical field [0001] The present invention relates to magnetic resonance imaging technology, in particular to an elastic modulus reconstruction method and system in magnetic resonance elastography. Background technique [0002] Elasticity is an important mechanical parameter in the physical properties of human tissues. The elastic changes of biological tissues are usually closely related to certain pathological phenomena. That is to say, there are often differences in elastic modulus between diseased tissues and normal tissues. This difference provides important reference information for the diagnosis of clinical diseases. [0003] As a non-invasive imaging method, Magnetic Resonance Elastography (MRE) can intuitively display and quantify the elasticity of human internal tissues, realize elastic imaging of human internal tissues, and make "image palpation" possible. Implications for treatment and monitoring of breast cancer detection, liver cirrhosis staging, atherosclero...

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Problems solved by technology

Currently proposed elastic modulus reconstruction methods include: (1) Local Frequency Estimation (LFE) algorithm and its variants, this algorithm will assume that the medium is uniform and incompressible, and ignore the attenuation in fluctuations, mechanical waves The propagation equation in the medium is therefore simplified to the Helmholtz equation, which is used as a model to solve the direct inverse problem algebraically, but the local frequency estimation algorithm has the defects of low resolution and limited precision, and cannot estimate the sharp boundary. Accurate elastic coefficient, the assumption is not applicable in some clinical applications; (2) Based on the elastic modulus reconstruction algorithm of finite element analysis, a particle displacement map is calculated, and by minimizing the particle displacement map and the magnetic resonance particle displacement The elastic coefficient distribution map is obtained from the figure. Compared with the local frequency estimation algorithm and its variants, this method does not make specific assumptions about the medium, etc., is not sensitive to noise interference, and can produce higher-resolution images, but the calculation is very large.

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