Multile size biological tissue displacement evaluating method

Abstract

The present invention belongs to the field of supersonic elastic imaging technology. The multiple size biological tissue displacement estimating method includes: taking the data d1 of one small section T1 in the first scanning line in the 2D RF signal before tissue compression, finding the cross correlation function of the data d1 and the scanning data after tissue compression, dividing the data d1 into N sections of data in size T2 and finding the cross correlation function of the data and the scanning line data, further dividing each section of data and finding the cross correlation function and performing weighting averaging to obtain the displacement t1; and repeating the steps for d2, d3, ..., dl to obtain the tissue displacement evaluation corresponding to the first scanning line; and similarly obtaining the tissue displacement estimation corresponding to the other scanning lines. The present invention has raised tissue displacement estimation precision.

Description

technical field [0001] The invention belongs to the technical field of ultrasonic elastography, in particular to a method for estimating the displacement of biological tissues. Background technique [0002] Changes in the elastic modulus of biological tissues are usually related to their pathological phenomena. For example, malignant pathological lesions, such as scirrhous breast cancer, prostate cancer, thyroid cancer, and liver metastases, usually appear as hard nodules. Sclerocarcinoma of the breast is the most common form of breast cancer, accounting for about three-quarters of all breast cancers, and presents as a dense, hard mass due to its increased stroma density. While other types of breast cancer, such as intraductal carcinoma and papilloma, present as soft tissue, benign fibrocystic breast disease rarely presents as a hard mass. [0003] The elastic modulus information of biological tissues has important reference value for the diagnosis process of diseases. Ho...

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Problems solved by technology

[0025] In order to solve the contradiction between large scale and small scale when the amount of compression applied to the tissue is relatively large, the present invention proposes a multi-scale tissue displacement estimation method; when the amount of tissue compression is relatively large, two or more different scales The corresponding cross-correlation function is weighted and averaged, thus integrating information of various different scales for tissue displacement estimation, which can maximize the advantages and disadvantages of only selecting a single large-scale or small-scale tissue displacement estimation, and improve the accuracy of tissue displacement estimation

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