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2
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引用本文的文献

1
Generalized mathematical framework for contrast-enhanced ultrasound imaging with pulse inversion spectral deconvolution.基于脉冲反演频谱解卷积的超声造影成像通用数学框架。
Ultrasonics. 2023 Mar;129:106913. doi: 10.1016/j.ultras.2022.106913. Epub 2022 Dec 9.
2
Evaluation of Nonlinear Contrast Pulse Sequencing for Use in Super-Resolution Ultrasound Imaging.评价非线性对比脉冲序列在超高分辨率超声成像中的应用。
IEEE Trans Ultrason Ferroelectr Freq Control. 2021 Nov;68(11):3347-3361. doi: 10.1109/TUFFC.2021.3092172. Epub 2021 Oct 18.
3
Three-dimensional visualization and improved quantification with super-resolution ultrasound imaging - validation framework for analysis of microvascular morphology using a chicken embryo model.三维可视化和超分辨率超声成像的改进定量 - 利用鸡胚模型分析微血管形态的验证框架。
Phys Med Biol. 2021 Apr 16;66(8). doi: 10.1088/1361-6560/abf203.
4
3-D H-Scan Ultrasound Imaging and Use of a Convolutional Neural Network for Scatterer Size Estimation.3-D H-Scan 超声成像及卷积神经网络在散射体尺寸估计中的应用。
Ultrasound Med Biol. 2020 Oct;46(10):2810-2818. doi: 10.1016/j.ultrasmedbio.2020.06.001. Epub 2020 Jul 9.

本文引用的文献

1
Real-time H-scan ultrasound imaging using a Verasonics research scanner.使用Verasonics研究型扫描仪进行实时H扫描超声成像。
Ultrasonics. 2019 Apr;94:28-36. doi: 10.1016/j.ultras.2018.12.010. Epub 2018 Dec 20.
2
Microbubble Formulations: Synthesis, Stability, Modeling and Biomedical Applications.微泡制剂:合成、稳定性、建模及生物医学应用
Ultrasound Med Biol. 2019 Feb;45(2):301-343. doi: 10.1016/j.ultrasmedbio.2018.09.022. Epub 2018 Dec 5.
3
Spatial Angular Compounding Technique for H-Scan Ultrasound Imaging.用于H扫描超声成像的空间角复合技术
Ultrasound Med Biol. 2018 Jan;44(1):267-277. doi: 10.1016/j.ultrasmedbio.2017.09.003. Epub 2017 Oct 12.
4
Subharmonic and Endoscopic Contrast Imaging of Pancreatic Masses: A Pilot Study.胰腺肿块的亚谐波与内镜对比成像:一项初步研究。
J Ultrasound Med. 2018 Jan;37(1):123-129. doi: 10.1002/jum.14310. Epub 2017 Jul 6.
5
Enhanced axial and lateral resolution using stabilized pulses.使用稳定脉冲增强轴向和横向分辨率。
J Med Imaging (Bellingham). 2017 Apr;4(2):027001. doi: 10.1117/1.JMI.4.2.027001. Epub 2017 May 8.
6
Scattering and reflection identification in H-scan images.H扫描图像中的散射与反射识别
Phys Med Biol. 2016 Jun 21;61(12):L20-8. doi: 10.1088/0031-9155/61/12/L20. Epub 2016 May 25.
7
Ultrafast ultrasound localization microscopy for deep super-resolution vascular imaging.超快超声定位显微镜用于深层超分辨率血管成像。
Nature. 2015 Nov 26;527(7579):499-502. doi: 10.1038/nature16066.
8
Ultrasound imaging of breast tumor perfusion and neovascular morphology.乳腺肿瘤灌注及新生血管形态的超声成像
Ultrasound Med Biol. 2015 Sep;41(9):2292-302. doi: 10.1016/j.ultrasmedbio.2015.04.016. Epub 2015 Jun 24.
9
Recent developments in dynamic contrast-enhanced ultrasound imaging of tumor angiogenesis.肿瘤血管生成的动态对比增强超声成像的最新进展。
Imaging Med. 2014 Feb 1;6(1):41-52. doi: 10.2217/iim.13.74.
10
Ultrafast imaging in biomedical ultrasound.生物医学超声中的超快成像。
IEEE Trans Ultrason Ferroelectr Freq Control. 2014 Jan;61(1):102-19. doi: 10.1109/TUFFC.2014.6689779.

脉冲反演频谱反卷积的超声造影成像。

Contrast-enhanced ultrasound imaging using pulse inversion spectral deconvolution.

机构信息

Department of Bioengineering, University of Texas at Dallas, Richardson, Texas 75080, USA.

出版信息

J Acoust Soc Am. 2019 Oct;146(4):2466. doi: 10.1121/1.5129115.

DOI:10.1121/1.5129115
PMID:31671995
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6794155/
Abstract

A contrast-enhanced ultrasound (CEUS) imaging approach, termed pulse inversion spectral deconvolution (PISD), is introduced. The approach uses two Gaussian-weighted Hermite polynomials to form two inverted pulse sequences. The two inversed pulses are then used to filter ultrasound (US) backscattered data and discrimination of the linear and nonlinear signal components. A research US scanner equipped with a linear array transducer was used for data acquisition. The receive data from all channels are shaped using plane wave imaging beamforming with angular compounding (from one to nine angles). In vitro data was collected with a tissue mimicking flow phantom perfused with an US contrast agent using PISD and traditional nonlinear (NLI) US imaging as comparison. The role of imaging frequency (between 4.5 and 6.25 MHz) and mechanical index (from 0.1 to 0.3) were evaluated. Preliminary in vivo data was collected in the hindlimb of three healthy mice. Preliminary experimental findings indicate that the PISD contrast-to-tissue ratio was improved nearly ten times compared to the NLI US imaging approach. Also, the spatial resolution was improved due to the effect of deconvolution and spatial angular compounding. Overall, PISD is a promising postprocessing technique for real-time CEUS imaging.

摘要

引入了一种对比增强超声(CEUS)成像方法,称为脉冲反转谱解卷积(PISD)。该方法使用两个高斯加权的 Hermite 多项式形成两个反转脉冲序列。然后,这两个反转脉冲用于过滤超声(US)背向散射数据并区分线性和非线性信号分量。研究型 US 扫描仪配备了线性阵列换能器用于数据采集。接收的来自所有通道的数据使用平面波成像波束形成技术进行整形,具有角度复合(从一个到九个角度)。使用 PISD 和传统非线性(NLI)US 成像作为比较,在灌注 US 造影剂的组织模拟流动体模中收集体外数据。评估了成像频率(4.5 至 6.25 MHz 之间)和机械指数(0.1 至 0.3)的作用。初步在三只健康小鼠的后肢中收集了体内数据。初步实验结果表明,与 NLI US 成像方法相比,PISD 的对比组织比提高了近十倍。此外,由于解卷积和空间角度复合的作用,空间分辨率得到了提高。总体而言,PISD 是一种很有前途的实时 CEUS 成像后处理技术。