• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Linear System Models for Ultrasonic Imaging: Intensity Signal Statistics.线性系统模型在超声成像中的应用:强度信号统计。
IEEE Trans Ultrason Ferroelectr Freq Control. 2017 Apr;64(4):669-678. doi: 10.1109/TUFFC.2017.2652451. Epub 2017 Jan 16.
2
Method for Recovering Lost Ultrasonic Information Using the Echo-intensity Mean.
Ultrason Imaging. 2018 Sep;40(5):283-299. doi: 10.1177/0161734618771924. Epub 2018 May 30.
3
Robust estimation of ultrasound pulses using outlier-resistant de-noising.使用抗异常值去噪对超声脉冲进行稳健估计。
IEEE Trans Med Imaging. 2003 Mar;22(3):368-81. doi: 10.1109/TMI.2003.809603.
4
Multi-covariate Imaging of Sub-resolution Targets.亚分辨率目标的多变量成像。
IEEE Trans Med Imaging. 2019 Jul;38(7):1690-1700. doi: 10.1109/TMI.2019.2917021. Epub 2019 May 15.
5
Effect of element directivity on adaptive beamforming applied to high-frame-rate ultrasound.元素指向性对应用于高帧率超声的自适应波束形成的影响。
IEEE Trans Ultrason Ferroelectr Freq Control. 2015 Mar;62(3):511-23. doi: 10.1109/TUFFC.2015.006973.
6
A novel coded excitation scheme to improve spatial and contrast resolution of quantitative ultrasound imaging.一种提高定量超声成像空间和对比分辨率的新型编码激励方案。
IEEE Trans Ultrason Ferroelectr Freq Control. 2009 Oct;56(10):2111-23. doi: 10.1109/TUFFC.2009.1294.
7
Artifact reduction of ultrasound Nakagami imaging by combining multifocus image reconstruction and the noise-assisted correlation algorithm.通过结合多聚焦图像重建和噪声辅助相关算法减少超声中值成像的伪像
Ultrason Imaging. 2015 Jan;37(1):53-69. doi: 10.1177/0161734614526379. Epub 2014 Mar 13.
8
Determining temperature distribution in tissue in the focal plane of the high (>100 W/cm(2)) intensity focused ultrasound beam using phase shift of ultrasound echoes.利用超声回波的相移确定高强度聚焦超声束(>100 W/cm²)焦平面内组织中的温度分布。
Ultrasonics. 2016 Feb;65:211-9. doi: 10.1016/j.ultras.2015.10.002. Epub 2015 Oct 13.
9
Complex principal components for robust motion estimation.用于稳健运动估计的复杂主成分。
IEEE Trans Ultrason Ferroelectr Freq Control. 2010 Nov;57(11):2437-49. doi: 10.1109/TUFFC.2010.1710.
10
Noise-assisted correlation algorithm for suppressing noise-induced artifacts in ultrasonic Nakagami images.用于抑制超声中值图像中噪声诱导伪像的噪声辅助相关算法。
IEEE Trans Inf Technol Biomed. 2012 May;16(3):314-22. doi: 10.1109/TITB.2011.2177851. Epub 2011 Dec 1.

本文引用的文献

1
Unified snr analysis of medical imaging systems.医学成像系统的统一信噪比分析
Phys Med Biol. 1985 Jun;30(6):489-518. doi: 10.1088/0031-9155/30/6/001.
2
Objective assessment of sonographic: quality II acquisition information spectrum.超声声像图质量 II 采集信息谱的客观评估。
IEEE Trans Med Imaging. 2013 Apr;32(4):691-8. doi: 10.1109/TMI.2012.2231963. Epub 2012 Dec 5.
3
Effects of frequency and bandwidth on diagnostic information transfer in ultrasonic B-mode imaging.超声 B 模式成像中频率和带宽对诊断信息传递的影响。
IEEE Trans Ultrason Ferroelectr Freq Control. 2012 Jun;59(6):1115-26. doi: 10.1109/tuffc.2012.2302.
4
Generalized cystic resolution: a metric for assessing the fundamental limits on beamformer performance.广义囊性分辨率:一种评估波束形成器性能基本极限的指标。
IEEE Trans Ultrason Ferroelectr Freq Control. 2009 Jan;56(1):77-90. doi: 10.1109/TUFFC.2009.1007.
5
Calculation of pressure fields from arbitrarily shaped, apodized, and excited ultrasound transducers.从任意形状、变迹和激励的超声换能器计算压力场。
IEEE Trans Ultrason Ferroelectr Freq Control. 1992;39(2):262-7. doi: 10.1109/58.139123.
6
Objective performance testing and quality assurance of medical ultrasound equipment.医学超声设备的客观性能测试与质量保证
Ultrasound Med Biol. 2007 Mar;33(3):460-71. doi: 10.1016/j.ultrasmedbio.2006.09.006.
7
On the statistics of ultrasonic spectral parameters.关于超声频谱参数的统计
Ultrasound Med Biol. 2006 Nov;32(11):1671-85. doi: 10.1016/j.ultrasmedbio.2006.09.002.
8
Detection performance theory for ultrasound imaging systems.超声成像系统的检测性能理论
IEEE Trans Med Imaging. 2005 Mar;24(3):300-10. doi: 10.1109/tmi.2004.841226.
9
Differentiation and characterization of rat mammary fibroadenomas and 4T1 mouse carcinomas using quantitative ultrasound imaging.使用定量超声成像对大鼠乳腺纤维腺瘤和4T1小鼠癌进行鉴别与表征
IEEE Trans Med Imaging. 2004 Jun;23(6):764-71. doi: 10.1109/tmi.2004.826953.
10
Computer-aided classification of breast masses in ultrasonic B-scans using a multiparameter approach.使用多参数方法对超声B扫描中的乳腺肿块进行计算机辅助分类。
IEEE Trans Ultrason Ferroelectr Freq Control. 2003 Aug;50(8):1002-9. doi: 10.1109/tuffc.2003.1226544.

线性系统模型在超声成像中的应用:强度信号统计。

Linear System Models for Ultrasonic Imaging: Intensity Signal Statistics.

出版信息

IEEE Trans Ultrason Ferroelectr Freq Control. 2017 Apr;64(4):669-678. doi: 10.1109/TUFFC.2017.2652451. Epub 2017 Jan 16.

DOI:10.1109/TUFFC.2017.2652451
PMID:28092533
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5480407/
Abstract

Despite a great deal of work characterizing the statistical properties of radio frequency backscattered ultrasound signals, less is known about the statistical properties of demodulated intensity signals. Analysis of intensity is made more difficult by a strong nonlinearity that arises in the process of demodulation. This limits our ability to characterize the spatial resolution and noise properties of B-mode ultrasound images. In this paper, we generalize earlier results on two-point intensity covariance using a multivariate systems approach. We derive the mean and autocovariance function of the intensity signal under Gaussian assumptions on both the object scattering function and acquisition noise, and with the assumption of a locally shift-invariant pulse-echo system function. We investigate the limiting cases of point statistics and a uniform scattering field with a stationary distribution. Results from validation studies using simulation and data from a real system applied to a uniform scattering phantom are presented. In the simulation studies, we find errors less than 10% between the theoretical mean and variance, and sample estimates of these quantities. Prediction of the intensity power spectrum (PS) in the real system exhibits good qualitative agreement (errors less than 3.5 dB for frequencies between 0.1 and 10 cyc/mm, but with somewhat higher error outside this range that may be due to the use of a window in the PS estimation procedure). We also replicate the common finding that the intensity mean is equal to its standard deviation (i.e., signal-to-noise ratio = 1) for fully developed speckle. We show how the derived statistical properties can be used to characterize the quality of an ultrasound linear array for low-contrast patterns using generalized noise-equivalent quanta directly on the intensity signal.

摘要

尽管已经有大量的工作对射频反向散射超声信号的统计特性进行了描述,但对解调强度信号的统计特性却知之甚少。解调过程中出现的强非线性使得对强度的分析变得更加困难。这限制了我们对 B 模式超声图像的空间分辨率和噪声特性进行特征描述的能力。在本文中,我们使用多变量系统方法对两点强度协方差的早期结果进行了推广。我们推导了在对象散射函数和采集噪声的高斯假设下,以及在局部平移不变脉冲回波系统函数的假设下,强度信号的均值和自协方差函数。我们研究了点统计和具有平稳分布的均匀散射场的极限情况。使用模拟和应用于均匀散射体的真实系统的数据进行验证研究的结果。在模拟研究中,我们发现理论均值和方差与这些量的样本估计值之间的误差小于 10%。在真实系统中,对强度功率谱 (PS) 的预测显示出良好的定性一致性(在 0.1 到 10 个 cyc/mm 之间的频率下,误差小于 3.5 dB,但在该范围之外,误差可能稍高,这可能是由于在 PS 估计过程中使用了窗口)。我们还复制了常见的发现,即完全发展的散斑的强度均值与其标准差相等(即信噪比=1)。我们展示了如何使用推导的统计特性直接在强度信号上使用广义噪声等效量子来描述用于低对比度模式的超声线阵的质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6158/5480407/9a18d3f4709e/nihms865252f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6158/5480407/e6c3e7b285f8/nihms865252f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6158/5480407/855734f4b338/nihms865252f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6158/5480407/1d5e9b446f37/nihms865252f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6158/5480407/f08cea951879/nihms865252f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6158/5480407/1d9820ee6046/nihms865252f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6158/5480407/fa4ba6dcc1c6/nihms865252f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6158/5480407/9a18d3f4709e/nihms865252f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6158/5480407/e6c3e7b285f8/nihms865252f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6158/5480407/855734f4b338/nihms865252f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6158/5480407/1d5e9b446f37/nihms865252f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6158/5480407/f08cea951879/nihms865252f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6158/5480407/1d9820ee6046/nihms865252f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6158/5480407/fa4ba6dcc1c6/nihms865252f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6158/5480407/9a18d3f4709e/nihms865252f7.jpg