Literature DB >> 19163332

Automatic identification of lumbar level with ultrasound.

Benjamin Kerby1, Robert Rohling, Vishnu Nair, Purang Abolmaesumi.   

Abstract

An ultrasound-based system is created to label the lumbar vertebrae for the purpose of percutaneous needle insertion. Many lumbar punctures have a preferable vertebral level for needle insertion, but the traditional method of manual palpation is known to be inaccurate for determining the level. Needle insertion for epidural anesthesia in obstetrics is preferably performed at the L3-L4 interspace and miscalculation can lead to complications such as nerve damage and paralysis. Similar risks occur for other spinal needle insertions. In this paper, an ultrasound-based system is devised that creates panorama images of lumbar vertebrae with an extended field of view starting from the coccyx. The vertebrae are labeled with a novel image processing algorithm. Since the coccyx is relatively easy to locate by palpation, the labels of the vertebrae from the panorama can be converted to skin location on the subject. The method is validated against independent measurements by a sonographer.

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Year:  2008        PMID: 19163332     DOI: 10.1109/IEMBS.2008.4649829

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  7 in total

1.  Eyes in the needle: novel epidural needle with embedded high-frequency ultrasound transducer--epidural access in porcine model.

Authors:  Huihua K Chiang; Qifa Zhou; M Susan Mandell; Mei-Yung Tsou; Shih-Pin Lin; K Kirk Shung; Chien-Kun Ting
Journal:  Anesthesiology       Date:  2011-06       Impact factor: 7.892

2.  Towards real-time, tracker-less 3D ultrasound guidance for spine anaesthesia.

Authors:  Mikael Brudfors; Alexander Seitel; Abtin Rasoulian; Andras Lasso; Victoria A Lessoway; Jill Osborn; Atsuto Maki; Robert N Rohling; Purang Abolmaesumi
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-04-18       Impact factor: 2.924

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

Authors:  Tomohiro Yokoyama; Shohei Mori; Mototaka Arakawa; Eiko Onishi; Masanori Yamauchi; Hiroshi Kanai
Journal:  J Med Ultrason (2001)       Date:  2019-08-21       Impact factor: 1.314

4.  SLIDE: automatic spine level identification system using a deep convolutional neural network.

Authors:  Jorden Hetherington; Victoria Lessoway; Vit Gunka; Purang Abolmaesumi; Robert Rohling
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-03-30       Impact factor: 2.924

5.  Ultrasound-guided evaluation of the lumbar subarachnoid space in lateral and sitting positions in pregnant patients to receive elective cesarean operation.

Authors:  Ucarli Gulay; Turkay Meltem; Sinikoglu Sitki Nadir; Alagol Aysin
Journal:  Pak J Med Sci       Date:  2015 Jan-Feb       Impact factor: 1.088

Review 6.  Localization of epidural space: A review of available technologies.

Authors:  Hesham Elsharkawy; Abraham Sonny; Ki Jinn Chin
Journal:  J Anaesthesiol Clin Pharmacol       Date:  2017 Jan-Mar

7.  Machine learning approach to needle insertion site identification for spinal anesthesia in obese patients.

Authors:  Jason Ju In Chan; Jun Ma; Yusong Leng; Kok Kiong Tan; Chin Wen Tan; Rehena Sultana; Alex Tiong Heng Sia; Ban Leong Sng
Journal:  BMC Anesthesiol       Date:  2021-10-18       Impact factor: 2.217

  7 in total

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