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Identification of the heart wall and chamber based on temporal change of ultrasonic scatterer distribution

机译:基于超声散射体分布随时间变化的心壁和心腔识别

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摘要

In most current methods for evaluating the cardiac function by ultrasound, the heart wall area is identified manually by an examiner. To eliminate examiner dependence and to improve usability, an automatic heart wall identification method is desirable. Identification based on only echogenicity often fails because of low echogenicity of some areas of the heart wall. In the present study, to determine more essential features, we focused on the relative temporal change of ultrasonic scatterer distribution and proposed three features for identification of the heart wall and the chamber: cross-correlation of RF signals, that of envelopes, and spatial dispersion of movement vectors in small regions. In an in vivo experiment, using echogenicity and the three features, we identified the heart wall and the chamber in the left ventricular long-axis view, resulting in criteria of separability J of 1.69, 1.40, and 3.02 using these features compared with the result of 0.979 using echogenicity. (C) 2017 The Japan Society of Applied Physics
机译:在当前大多数通过超声评估心功能的方法中,检查者手动识别心脏壁面积。为了消除检查者的依赖性并提高可用性,需要一种自动的心脏壁识别方法。由于心脏壁某些区域的回声率低,因此仅基于回声率的识别通常会失败。在本研究中,为了确定更多必要的特征,我们集中于超声散射体分布的相对时间变化,并提出了用于识别心脏壁和心腔的三个特征:RF信号的互相关,包络的互相关以及空间色散区域的运动矢量集。在体内实验中,利用回声性和这三个特征,我们在左心室长轴视图中识别了心脏壁和腔室,与这些结果相比,使用这些特征得出的可分离性标准为1.69、1.40和3.02使用回声性的0.979。 (C)2017日本应用物理学会

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  • 来源
    《Japanese journal of applied physics》 |2017年第7s1期|07JF09.1-07JF09.7|共7页
  • 作者单位

    Tohoku Univ, Grad Sch Biomed Engn, Sendai, Miyagi 9808579, Japan;

    Tohoku Univ, Grad Sch Biomed Engn, Sendai, Miyagi 9808579, Japan|Tohoku Univ, Grad Sch Engn, Sendai, Miyagi 9808579, Japan;

    Tohoku Univ, Grad Sch Biomed Engn, Sendai, Miyagi 9808579, Japan|Tohoku Univ, Grad Sch Engn, Sendai, Miyagi 9808579, Japan;

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