• 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

超声频谱参数成像的统计框架

Statistical framework for ultrasonic spectral parameter imaging.

作者信息

Lizzi F L, Astor M, Feleppa E J, Shao M, Kalisz A

机构信息

Riverside Research Institute, New York, NY 10036, USA.

出版信息

Ultrasound Med Biol. 1997;23(9):1371-82. doi: 10.1016/s0301-5629(97)00200-7.

DOI:10.1016/s0301-5629(97)00200-7
PMID:9428136
Abstract

This study examines the statistics of ultrasonic spectral parameter images that are being used to evaluate tissue microstructure in several organs. The parameters are derived from sliding-window spectrum analysis of radiofrequency echo signals. Calibrated spectra are expressed in dB and analyzed with linear regression procedures to compute spectral slope, intercept and midband fit, which is directly related to integrated backscatter. Local values of each parameter are quantitatively depicted in gray-scale cross-sectional images to determine tissue type, response to therapy and physical scatterer properties. In this report, we treat the statistics of each type of parameter image for statistically homogeneous scatterers. Probability density functions are derived for each parameter, and theoretical results are compared with corresponding histograms clinically measured in homogeneous tissue segments in the liver and prostate. Excellent agreement was found between theoretical density functions and data histograms for homogeneous tissue segments. Departures from theory are observed in heterogeneous tissue segments. The results demonstrate how the statistics of each spectral parameter and integrated backscatter are related to system and analysis parameters. These results are now being used to guide the design of system and analysis parameters, to improve assays of tissue heterogeneity and to evaluate the precision of estimating features associated with effective scatterer sizes and concentrations.

摘要

本研究考察了用于评估多个器官组织微观结构的超声频谱参数图像的统计数据。这些参数源自射频回波信号的滑动窗口频谱分析。校准后的频谱以分贝表示,并采用线性回归程序进行分析,以计算频谱斜率、截距和中频拟合,后者与积分背向散射直接相关。每个参数的局部值以灰度横截面图像进行定量描绘,以确定组织类型、对治疗的反应以及物理散射体特性。在本报告中,我们针对统计上均匀的散射体处理每种参数图像的统计数据。为每个参数推导概率密度函数,并将理论结果与在肝脏和前列腺的均匀组织段中临床测量的相应直方图进行比较。在均匀组织段的理论密度函数和数据直方图之间发现了极好的一致性。在异质组织段中观察到与理论的偏差。结果表明了每个频谱参数和积分背向散射的统计数据如何与系统和分析参数相关。这些结果目前正用于指导系统和分析参数的设计,以改进组织异质性的检测,并评估与有效散射体大小和浓度相关的特征估计的精度。

相似文献

1
Statistical framework for ultrasonic spectral parameter imaging.超声频谱参数成像的统计框架
Ultrasound Med Biol. 1997;23(9):1371-82. doi: 10.1016/s0301-5629(97)00200-7.
2
Characterization of anisotropic myocardial backscatter using spectral slope, intercept and midband fit parameters.使用频谱斜率、截距和中频带拟合参数对各向异性心肌背向散射进行表征。
Ultrason Imaging. 2007 Apr;29(2):122-34. doi: 10.1177/016173460702900204.
3
Ultrasonic spectral parameter characterization of apoptosis.细胞凋亡的超声光谱参数表征
Ultrasound Med Biol. 2002 May;28(5):589-97. doi: 10.1016/s0301-5629(02)00492-1.
4
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.
5
Comparison of theoretical scattering results and ultrasonic data from clinical liver examinations.
Ultrasound Med Biol. 1988;14(5):377-85. doi: 10.1016/0301-5629(88)90073-7.
6
Ultrasonic characterization of maturation of fetal lung microstructure: an animal study.
Ultrasound Med Biol. 2001 Feb;27(2):157-69. doi: 10.1016/s0301-5629(00)00335-5.
7
Heterogeneous Tissue Characterization Using Ultrasound: A Comparison of Fractal Analysis Backscatter Models on Liver Tumors.使用超声进行异质组织表征:肝脏肿瘤的分形分析后向散射模型比较
Ultrasound Med Biol. 2016 Jul;42(7):1612-26. doi: 10.1016/j.ultrasmedbio.2016.02.007. Epub 2016 Apr 5.
8
Normalization and backscatter spectral analysis of human carotid arterial data acquired using a clinical linear array ultrasound imaging system.使用临床线性阵列超声成像系统采集的人体颈动脉数据的归一化和后向散射光谱分析。
Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:2968-71. doi: 10.1109/IEMBS.2008.4649826.
9
Experimental assessment of spectrum analysis of ultrasonic echoes as a method for estimating scatterer properties.
Ultrasound Med Biol. 1994;20(5):463-70. doi: 10.1016/0301-5629(94)90101-5.
10
Assessment of Homodyned K Distribution Modeling Ultrasonic Speckles from Scatterers with Varying Spatial Organizations.评估具有不同空间组织的散射体的同调 K 分布模型超声散斑。
J Healthc Eng. 2017;2017:8154780. doi: 10.1155/2017/8154780. Epub 2017 Sep 5.

引用本文的文献

1
High-frequency Quantitative Ultrasound Imaging of Human Rotator Cuff Muscles: Assessment of Repeatability and Reproducibility.人体肩袖肌高频定量超声成像:重复性和再现性评估
Ultrason Imaging. 2024 Jan;46(1):56-70. doi: 10.1177/01617346231207404. Epub 2023 Nov 20.
2
Quantitative evaluation of rat sciatic nerve degeneration using high-frequency ultrasound.高频超声定量评估大鼠坐骨神经变性。
Sci Rep. 2023 Nov 18;13(1):20228. doi: 10.1038/s41598-023-47264-9.
3
Predicting head and neck cancer treatment outcomes with pre-treatment quantitative ultrasound texture features and optimising machine learning classifiers with texture-of-texture features.
利用治疗前定量超声纹理特征预测头颈癌治疗结果,并使用纹理特征优化机器学习分类器。
Front Oncol. 2023 Oct 2;13:1258970. doi: 10.3389/fonc.2023.1258970. eCollection 2023.
4
Extracting Quantitative Ultrasonic Parameters from the Backscatter Coefficient.从背向散射系数中提取定量超声参数。
Adv Exp Med Biol. 2023;1403:43-63. doi: 10.1007/978-3-031-21987-0_4.
5
High-Resolution Ultrasound Characterization of Local Scattering in Cancer Tissue.癌症组织中局部散射的高分辨率超声特征。
Ultrasound Med Biol. 2023 Apr;49(4):951-960. doi: 10.1016/j.ultrasmedbio.2022.11.017. Epub 2023 Jan 19.
6
Implementation of Non-Invasive Quantitative Ultrasound in Clinical Cancer Imaging.非侵入性定量超声在临床癌症成像中的应用
Cancers (Basel). 2022 Dec 16;14(24):6217. doi: 10.3390/cancers14246217.
7
Multiplexed Ultrasound Imaging Using Spectral Analysis on Gas Vesicles.基于气穴的光谱分析的多重超声成像。
Adv Healthc Mater. 2022 Sep;11(17):e2200568. doi: 10.1002/adhm.202200568. Epub 2022 Jul 12.
8
Breast Tumor Classification Using Intratumoral Quantitative Ultrasound Descriptors.基于肿瘤内定量超声特征对乳腺肿瘤进行分类。
Comput Math Methods Med. 2022 Mar 7;2022:1633858. doi: 10.1155/2022/1633858. eCollection 2022.
9
In vivo assessment of prostate cancer response using quantitative ultrasound characterization of ultrasonic scattering properties.利用超声散射特性定量超声特征评估前列腺癌的体内反应。
BMC Cancer. 2021 Sep 3;21(1):991. doi: 10.1186/s12885-021-08706-7.
10
Comparison of methods for texture analysis of QUS parametric images in the characterization of breast lesions.用于乳腺病变特征描述的定量超声(QUS)参数图像纹理分析方法的比较
PLoS One. 2020 Dec 31;15(12):e0244965. doi: 10.1371/journal.pone.0244965. eCollection 2020.