摘要翻译：
肺超声表面波弹性成像(LUSWE)是一种新的无创性肺组织硬度测量技术，本研究旨在将LUSWE用于诊断间质性肺疾病(ILD)和包括系统性硬化症(SSc)在内的各种结缔病，并用LUSWE测量91例ILD患者和30例健康对照者6个肋间肺间隙的100、150和200 Hz肺表面波速度。此外，还测量了患者和对照组前臂和上臂的皮肤粘弹性。患者肺表面波速度在6个肋间隙和3个激发频率上均明显高于对照组。患者手臂上四个部位的皮肤弹性和黏度明显高于对照组。将ILD患者分为ILD合并SSc和ILD不合并SSc两组，肺和皮肤与对照组均有显著性差异，但两组间无显著性差异，但在部分部位和100 Hz频率有一定差异。LUSWE可用于ILD和SSc的评估及早期筛查。
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英文标题：
《Lung ultrasound surface wave elastography for assessing instititial lung
  disease》
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作者：
Xiaoming Zhang, Boran Zhou, Thomas Osborn, Brian Bartholmai, Sanjay
  Kalra
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最新提交年份：
2018
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分类信息：

一级分类：Quantitative Biology        数量生物学
二级分类：Tissues and Organs        组织器官
分类描述：Blood flow in vessels, biomechanics of bones, electrical waves, endocrine system, tumor growth
血管内血流，骨骼生物力学，电波，内分泌系统，肿瘤生长
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一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Signal Processing        信号处理
分类描述：Theory, algorithms, performance analysis and applications of signal and data analysis, including physical modeling, processing, detection and parameter estimation, learning, mining, retrieval, and information extraction. The term "signal" includes speech, audio, sonar, radar, geophysical, physiological, (bio-) medical, image, video, and multimodal natural and man-made signals, including communication signals and data. Topics of interest include: statistical signal processing, spectral estimation and system identification; filter design, adaptive filtering / stochastic learning; (compressive) sampling, sensing, and transform-domain methods including fast algorithms; signal processing for machine learning and machine learning for signal processing applications; in-network and graph signal processing; convex and nonconvex optimization methods for signal processing applications; radar, sonar, and sensor array beamforming and direction finding; communications signal processing; low power, multi-core and system-on-chip signal processing; sensing, communication, analysis and optimization for cyber-physical systems such as power grids and the Internet of Things.
信号和数据分析的理论、算法、性能分析和应用，包括物理建模、处理、检测和参数估计、学习、挖掘、检索和信息提取。“信号”一词包括语音、音频、声纳、雷达、地球物理、生理、（生物）医学、图像、视频和多模态自然和人为信号，包括通信信号和数据。感兴趣的主题包括：统计信号处理、谱估计和系统辨识；滤波器设计；自适应滤波/随机学习；（压缩）采样、传感和变换域方法，包括快速算法；用于机器学习的信号处理和用于信号处理应用的机器学习；网络与图形信号处理；信号处理中的凸和非凸优化方法；雷达、声纳和传感器阵列波束形成和测向；通信信号处理；低功耗、多核、片上系统信号处理；信息物理系统的传感、通信、分析和优化，如电网和物联网。
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一级分类：Physics        物理学
二级分类：Medical Physics        医学物理学
分类描述：Radiation therapy. Radiation dosimetry. Biomedical imaging modelling.  Reconstruction, processing, and analysis. Biomedical system modelling and analysis. Health physics. New imaging or therapy modalities.
放射治疗。辐射剂量学。生物医学成像建模。重建、处理和分析。生物医学系统建模与分析。健康物理学。新的成像或治疗方式。
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英文摘要：
  Lung ultrasound surface wave elastography (LUSWE) is a novel noninvasive technique for measuring superficial lung tissue stiffness.The purpose of this study was to translate LUSWE for assessing patients with interstitial lung disease (ILD) and various connective diseases including systemic sclerosis (SSc).In this study, LUSWE was used to measure the surface wave speed of lung at 100 Hz, 150 Hz and 200 Hz through six intercostal lung spaces for 91 patients with ILD and 30 healthy control subjects. In addition, skin viscoelasticity was measured at both forearms and upper arms for patients and controls. The surface wave speeds of patients' lungs were significantly higher than those of control subjects for the six intercostal spaces and the three excitation frequencies. Patient skin elasticity and viscosity were significantly higher than those of control subjects for the four locations on the arm. In dividing ILD patients into two groups, ILD patients with SSc and ILD patients without SSc, significant differences between each patient group with the control group were found for both the lung and skin.No significant differences were found between the two patients group, although there were some differences at a few locations and at 100 Hz. LUSWE may be useful for assessing ILD and SSc and screening early stage patients.
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PDF链接：
https://arxiv.org/pdf/1806.035