ULTRASOUND SPECTROSCOPY.
ULTRASOUND SPECTROSCOPY.
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DOI：
10.1109/isbi.2016.7493437
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发表时间：
2016-04
期刊：
影响因子：
--
通讯作者：
Niethammer M
中科院分区：
文献类型：
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作者：
Aylward SR;McCormick M;Kang HJ;Razzaque S;Kwitt R;Niethammer M
我们引入“超声光谱”的概念。超声光谱学的前提是，通过在多个功率和频率设置下采集超声射频数据，可以从射频数据中提取丰富的特征，并用于表征底层组织。这对于解决各种问题都是有益的，例如准确的组织分类、特定于应用的图像生成以及许多其他定量任务。这些功能与护理点超声 (POCUS) 应用特别相关，其中操作员的超声经验可能有限。例如，使用超声波光谱的 POCUS 应用程序可以自动检测腹部内出血，而不是显示 B 模式图像。在本文中，我们提出了离体组织模型研究，以证明超声波光谱法相对于以前方法的准确性。我们的研究表明，超声波光谱提供了卓越的准确性和信息特征，可以根据图像位置和身体习惯对血液与其他组织进行分类。
We introduce the concept of “Ultrasound Spectroscopy”. The premise of ultrasound spectroscopy is that by acquiring ultrasound RF data at multiple power and frequency settings, a rich set of features can be extracted from that RF data and used to characterize the underlying tissues. This is beneficial for a variety of problems, such as accurate tissue classification, application-specific image generation, and numerous other quantitative tasks. These capabilities are particularly relevant to point-of-care ultrasound (POCUS) applications, where operator experience with ultrasound may be limited. Instead of displaying B-mode images, a POCUS application using ultrasound spectroscopy can, for example, automatically detect internal abdominal bleeding. In this paper, we present ex vivo tissue phantom studies to demonstrate the accuracy of ultrasound spectroscopy over previous approaches. Our studies suggest that ultrasound spectroscopy provides exceptional accuracy and informative features for classifying blood versus other tissues across image locations and body habitus.