Discrimination of thoracic spine from muscle based on their difference in ultrasound reflection and scattering characteristics
Discrimination of thoracic spine from muscle based on their difference in ultrasound reflection and scattering characteristics
复制标题
根据超声反射和散射特性的差异区分胸椎和肌肉
DOI：
10.1007/s10396-019-00964-0
复制
发表时间：
2020
影响因子：
1.8
通讯作者：
and Hiroshi Kanai
中科院分区：
文献类型：
--
作者：
Tomohiro Yokoyama;Shohei Mori;Mototaka Arakawa;Eiko Onishi;Masanori Yamauchi;and Hiroshi Kanai
目的医用超声常用于硬膜外麻醉穿刺部位的确定。然而，由于复杂的结构，胸椎的可视化是困难的，即，很难确定是否描绘了胸椎或肌肉。因此，本研究的目的是区分骨骼肌肉组织中使用的反射和散射特性的差异ultrasound.MethodsWe实验研究从骨骼和肌肉接收到的信号的差异。我们提出了一个新的参数，利用接收到的信号的幅度平均在一个很宽的范围内的理想延迟线，只有沿着理想的延迟线的比率，强调bone.ResultsFirst，我们确认了从骨骼和肌肉组织接收到的信号的基本实验的差异。我们还通过鸡大腿的体外实验和人体体内实验研究了差异。在这两个实验中，所提出的方法成功地清楚地描绘骨，抑制肌肉的描述，与传统的B-模式imaging.Conclusionusing从骨和散射从肌肉组织的特性的差异，我们可以区分骨与肌肉组织与所提出的方法。
PurposeMedical ultrasound is often used to specify the puncture position during epidural anesthesia. However, visualization of the thoracic spine is difficult because of the complex structure, i.e., it is difficult to determine whether the thoracic spine or muscle is depicted. Therefore, this study aims to distinguish bone from muscle tissue using the differences in reflection and scattering characteristics of ultrasound.MethodsWe experimentally investigated the difference in signals received from bone and muscle. We proposed a new parameter utilizing the ratio of the amplitude of the received signals averaged in a wide range around the ideal delay line and that only along the ideal delay line, to emphasize the bone.ResultsFirst, we confirmed the difference in signals received from bone and muscle tissue by basic experiments. We also investigated the difference by in vitro experiments using chicken thigh and in vivo experiments in humans. In both experiments, the proposed method succeeded to clearly depict bone, suppressing the depiction of muscle, compared with conventional B-mode imaging.ConclusionUsing the difference in the characteristics of reflection from bone and scattering from muscle tissue, we could distinguish bone from muscle tissue with the proposed method.