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利用中值滤波进行弹性成像的图像重建。

Image reconstruction utilizing median filtering applied to elastography.

机构信息

Electrical Engineering Department and the Graduate School of Electrical Engineering (DAELT), Federal University of Technology-Paraná (UTFPR), Curitiba, PR, Brazil.

Electrical/Electronic Engineering Department and the Graduate School of Electrical Engineering and Applied Computer Sciences (DAELT-DAELN-CPGEI), Federal University of Technology-Paraná (UTFPR), Curitiba, PR, Brazil.

出版信息

Biomed Eng Online. 2019 Mar 12;18(1):22. doi: 10.1186/s12938-019-0641-6.

Abstract

BACKGROUND

The resources of ultrafast technology can be used to add another analysis to ultrasound imaging: assessment of tissue viscoelasticity. Ultrafast image formation can be utilized to find transitory shear waves propagating in soft tissue, which permits quantification of the mechanical properties of the tissue via elastography. This technique permits simple and noninvasive diagnosis and monitoring of disease.

METHODS

This article presents a method to estimate the viscoelastic properties and rigidity of structures using the ultrasound technique known as shear wave elasticity imaging (SWEI). The Verasonics Vantage 128 research platform and L11-4v transducer were used to acquire radio frequency signals from a model 049A elastography phantom (CIRS, USA), with subsequent processing and analysis in MATLAB.

RESULTS

The images and indexes obtained reflect the qualitative measurements of the different regions of inclusions in the phantom and the respective alterations in the viscoelastic properties of distinct areas. Comparison of the results obtained with this proposed technique and other commonly used techniques demonstrates the characteristics of median filtering in smoothing variations in velocity to form elastographic images. The results from the technique proposed in this study are within the margins of error indicated by the phantom manufacturer for each type of inclusion; for the phantom base and for type I, II, III, and IV inclusions, respectively, in kPa and percentage errors, these are 25 (24.0%), 8 (37.5%), 14 (28.6%), 45 (17.8%), and 80 (15.0%). The values obtained using the method proposed in this study and mean percentage errors were 29.18 (- 16.7%), 10.26 (- 28.2%), 15.64 (- 11.7%), 45.81 (- 1.8%), and 85.21 (- 6.5%), respectively.

CONCLUSIONS

The new technique to obtain images uses a distinct filtering function which considers the mean velocity in the region around each pixel, in turn allowing adjustments according to the characteristics of the phantom inclusions within the ultrasound and optimizing the resulting elastographic images.

摘要

背景

超快技术的资源可用于为超声成像增加另一种分析:组织粘弹性评估。超快成像是利用传播于软组织中的瞬时剪切波,通过弹性成像来定量组织的力学特性。该技术可实现简单、无创的疾病诊断和监测。

方法

本文提出了一种使用超声剪切波弹性成像(SWEI)技术来估计结构粘弹性特性和刚性的方法。使用 Verasonics Vantage 128 研究平台和 L11-4v 换能器从美国 CIRS 模型 049A 弹性体模获取射频信号,随后在 MATLAB 中进行处理和分析。

结果

所获得的图像和指标反映了不同区域内包含物的定性测量,以及不同区域粘弹性特性的相应变化。与其他常用技术相比,该技术所获得的结果证明了中值滤波在平滑速度变化以形成弹性图像方面的特征。该研究中提出的技术的结果在每个类型的包含物的弹性体模制造商所指示的误差范围内;对于弹性体模基底和 I、II、III 和 IV 型包含物,在 kPa 和百分比误差方面,分别为 25(24.0%)、8(37.5%)、14(28.6%)、45(17.8%)和 80(15.0%)。使用本研究中提出的方法获得的数值和平均百分比误差分别为 29.18(-16.7%)、10.26(-28.2%)、15.64(-11.7%)、45.81(-1.8%)和 85.21(-6.5%)。

结论

新的图像获取技术使用了一种独特的滤波函数,该函数考虑了每个像素周围的平均速度,从而可以根据超声中的体模包含物的特性进行调整,并优化得到的弹性图像。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/807f/6417019/18acfece434a/12938_2019_641_Fig1_HTML.jpg

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