Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Two dimension complex interrelative biological tissue displacement evaluating method

A technology of cross-correlation and cross-correlation function, applied in ultrasonic/sonic/infrasonic Permian technology, ultrasonic/sonic/infrasound image/data processing, organ motion/change detection, etc. , large influence, low signal-to-noise ratio of strain distribution estimation, etc.

Inactive Publication Date: 2005-03-02
TSINGHUA UNIV
View PDF0 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0023] In the above-mentioned displacement estimation method, the cross-correlation analysis is performed on the signal of each scanning line to obtain the displacement estimation of the tissue. The influence of the lateral displacement of the tissue is relatively large, the accuracy of the longitudinal displacement estimation of the tissue is poor, and the signal-to-noise ratio of the strain distribution estimation is relatively low. lower

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Two dimension complex interrelative biological tissue displacement evaluating method
  • Two dimension complex interrelative biological tissue displacement evaluating method
  • Two dimension complex interrelative biological tissue displacement evaluating method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0062] Embodiment 1 uses a computer program and a general ultrasonic scattering model to simulate and obtain two-dimensional radio frequency signals of a simulated tissue before and after compression. The simulated organizational structure is as figure 2 As shown, tissue 21 size 60×60mm 2 , there are three circular foreign bodies 22, 23, and 24 with large elastic modulus distributed in the tissue, their elastic modulus is twice that of tissue 1, and their diameters are both 5mm; the tissue compression ratio is 1%, that is, the compression The measurement is 0.6mm; the center frequency of the probe is 3.5MHz, the -3dB bandwidth is 2.0MHz, the width and interval of the scanning lines of the probe are 2mm and 0.4mm respectively, and the width of the probe and the width of the tissue are also 60mm, so there are 151 scanning lines in total. That is, M=151, and the central part of the probe and the peripheral part of the probe correspond to the central part of the tissue and the p...

Embodiment 2

[0079] The organizational model and parameter design of Example 2 are the same as those of Example 1, except that the value of m is 2, and the weight α of the cross-correlation function corresponding to each scan line data k (-m≤k≤m) is 1 / 5, and the specific steps are also the same as in Example 1, except that m and α k The value of is different.

[0080] The displacement estimation effect of embodiment 1 and embodiment 2 is compared with general method as follows:

[0081] Figure 4 It is the computer simulation result of the tissue strain distribution obtained by the general tissue displacement estimation method, that is, the result when the comprehensive coefficient m is 0; Figure 5 It is the computer simulation result of the tissue strain distribution obtained in Example 1, that is, the result obtained by using the two-dimensional comprehensive cross-correlation tissue displacement estimation method whose comprehensive coefficient m is 1; Image 6 It is the computer si...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention belongs to the field of supersonic elastic imaging technology. The 2D complex cross correlative biological tissue displacement estimating method includes: taking the (m+1)-th scanning line data separately from the 2D RF signals before and after tissue compression, with m being the 2D cross correlative complex coefficient, and taking several data sections of length T to find out the cross correlative functions of the data sections and the scanning line data after compression with maximum value in the position corresponding to the displacement of the data section, to weighted average the cross correlative functions and to obtain the 2D complex cross correlative function; similarly finding out tissue displacement estimation corresponding to various scanning line data. The present invention has decreased error caused by transverse tissue displacement and raised precision of longitudinal tissue displacement estimation.

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): A61B8/08
Inventor 白净罗建文丁楚雄
Owner TSINGHUA UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com