Literature DB >> 31435746

Discrimination of thoracic spine from muscle based on their difference in ultrasound reflection and scattering characteristics.

Tomohiro Yokoyama1, Shohei Mori2, Mototaka Arakawa3,4, Eiko Onishi5, Masanori Yamauchi5, Hiroshi Kanai1,2.   

Abstract

PURPOSE: Medical 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.
METHODS: We 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.
RESULTS: First, 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.
CONCLUSION: Using 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.

Entities:  

Keywords:  Bone; Epidural anesthesia; Muscle; Reflection; Scattering; Ultrasound imaging

Mesh:

Year:  2019        PMID: 31435746     DOI: 10.1007/s10396-019-00964-0

Source DB:  PubMed          Journal:  J Med Ultrason (2001)        ISSN: 1346-4523            Impact factor:   1.314


  13 in total

1.  Ultrasound imaging of the thoracic epidural space.

Authors:  T Grau; R W Leipold; S Delorme; E Martin; J Motsch
Journal:  Reg Anesth Pain Med       Date:  2002 Mar-Apr       Impact factor: 6.288

2.  Automatic identification of lumbar level with ultrasound.

Authors:  Benjamin Kerby; Robert Rohling; Vishnu Nair; Purang Abolmaesumi
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2008

3.  Learning manual skills in anesthesiology: Is there a recommended number of cases for anesthetic procedures?

Authors:  C Konrad; G Schüpfer; M Wietlisbach; H Gerber
Journal:  Anesth Analg       Date:  1998-03       Impact factor: 5.108

4.  Strain-Initialized Robust Bone Surface Detection in 3-D Ultrasound.

Authors:  Mohammad Arafat Hussain; Antony J Hodgson; Rafeef Abugharbieh
Journal:  Ultrasound Med Biol       Date:  2016-12-23       Impact factor: 2.998

5.  Automatic identification of needle insertion site in epidural anesthesia with a cascading classifier.

Authors:  Shuang Yu; Kok Kiong Tan; Ban Leong Sng; Shengjin Li; Alex Tiong Heng Sia
Journal:  Ultrasound Med Biol       Date:  2014-06-25       Impact factor: 2.998

6.  Validation of shear wave elastography in skeletal muscle.

Authors:  Sarah F Eby; Pengfei Song; Shigao Chen; Qingshan Chen; James F Greenleaf; Kai-Nan An
Journal:  J Biomech       Date:  2013-07-30       Impact factor: 2.712

7.  Panorama Ultrasound for Navigation and Guidance of Epidural Anesthesia.

Authors:  Hedyeh Rafii-Tari; Victoria A Lessoway; Allaudin A Kamani; Purang Abolmaesumi; Robert Rohling
Journal:  Ultrasound Med Biol       Date:  2015-05-08       Impact factor: 2.998

8.  Imaging Performance of a Handheld Ultrasound System With Real-Time Computer-Aided Detection of Lumbar Spine Anatomy: A Feasibility Study.

Authors:  Mohamed Tiouririne; Adam J Dixon; F William Mauldin; David Scalzo; Arun Krishnaraj
Journal:  Invest Radiol       Date:  2017-08       Impact factor: 6.016

9.  Risk factors of inadequate pain relief during epidural analgesia for labour and delivery.

Authors:  G Le Coq; B Ducot; D Benhamou
Journal:  Can J Anaesth       Date:  1998-08       Impact factor: 5.063

10.  Bone surface localization in ultrasound using image phase-based features.

Authors:  Ilker Hacihaliloglu; Rafeef Abugharbieh; Antony J Hodgson; Robert N Rohling
Journal:  Ultrasound Med Biol       Date:  2009-07-17       Impact factor: 2.998

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.