Compartment Syndrome Detection Using Vibration-Enabled Ultrasound Shear Wave Elastography - Simulation and Experimental Results

Man M. Nguyen, Vijay Shamdasani, Anthony Gades, Kenton W. Gregory, Ramon Erkamp, Hua Xie, Meihua Zhu, Todd Graham, Jack Lazar, James M. Jones, Cynthia R. Gregory, Sean Kyne

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Ultrasound shear wave elastography (SWE) has become a clinically accepted tool for tissue characterization, cancer diagnosis, and therapy assessment. However, it is only commercially available on premium ultrasound scanners and high-performance transducers capable of sustaining high-voltage, long-duration acoustic push-pulses. Mechanical vibration is an alternative method for acoustic radiation force (ARF) to induce shear wave propagation inside soft tissue, thus enabling ultrasound SWE on low-cost and portable systems. One potential application is compartment syndrome (CS), with the acute cases commonly seen in traumatic injuries and chronic cases caused by exercise injuries. CS is a condition in which the increased pressure in the muscle compartment inhibits capillary blood flow and subsequently causes muscle ischemia. To avoid permanent muscle injury, CS must be diagnosed and treated rapidly. In this study, a vibration-enabled SWE prototype was implemented on a commercial scanner and evaluated using an in vivo swine CS model as a proof-of-concept for non-invasive CS detection.

Original languageEnglish (US)
Title of host publication2019 IEEE International Ultrasonics Symposium, IUS 2019
PublisherIEEE Computer Society
Pages1375-1378
Number of pages4
ISBN (Electronic)9781728145969
DOIs
StatePublished - Oct 2019
Event2019 IEEE International Ultrasonics Symposium, IUS 2019 - Glasgow, United Kingdom
Duration: Oct 6 2019Oct 9 2019

Publication series

NameIEEE International Ultrasonics Symposium, IUS
Volume2019-October
ISSN (Print)1948-5719
ISSN (Electronic)1948-5727

Conference

Conference2019 IEEE International Ultrasonics Symposium, IUS 2019
CountryUnited Kingdom
CityGlasgow
Period10/6/1910/9/19

Keywords

  • compartment syndrome
  • MSK
  • musculoskeletal
  • shear wave elastography
  • ultrasound
  • vibration-induced shear-wave elastography

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

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    Nguyen, M. M., Shamdasani, V., Gades, A., Gregory, K. W., Erkamp, R., Xie, H., Zhu, M., Graham, T., Lazar, J., Jones, J. M., Gregory, C. R., & Kyne, S. (2019). Compartment Syndrome Detection Using Vibration-Enabled Ultrasound Shear Wave Elastography - Simulation and Experimental Results. In 2019 IEEE International Ultrasonics Symposium, IUS 2019 (pp. 1375-1378). [8926283] (IEEE International Ultrasonics Symposium, IUS; Vol. 2019-October). IEEE Computer Society. https://doi.org/10.1109/ULTSYM.2019.8926283