Evaluation of the nonlinear modulus in renal transplant patients using progressive and regressive compression and shear wave measurements

Sara Aristizabal, Carolina Amador Carrascal, Tomas Echavarria Bayter, James F Greenleaf, Matthew W Urban

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

Abstract

End-stage renal disease (ESRD) is an irreversible deterioration in the renal function in which the body loses its ability to maintain the fluid and metabolic balance. Transplantation is the treatment of choice for patients with ESRD. After transplantation, biopsies are performed to monitor the function of the kidney transplant over time. Due to the invasive nature of biopsies, we are investigating the potential of noninvasive shear wave based methods such as acoustoelasticity (AE) to estimate the nonlinear mechanical properties of tissues. Using AE by compressing a medium and measuring the shear wave speed at different compression levels, we can estimate the third order nonlinear coefficient, A. The goal of this study was to evaluate the feasibility of performing AE using two directions of compression and to evaluate the potential of A as an indicator of the presence of renal fibrosis in the transplanted kidney.

Original languageEnglish (US)
Title of host publication2017 IEEE International Ultrasonics Symposium, IUS 2017
PublisherIEEE Computer Society
ISBN (Electronic)9781538633830
DOIs
StatePublished - Oct 31 2017
Event2017 IEEE International Ultrasonics Symposium, IUS 2017 - Washington, United States
Duration: Sep 6 2017Sep 9 2017

Other

Other2017 IEEE International Ultrasonics Symposium, IUS 2017
CountryUnited States
CityWashington
Period9/6/179/9/17

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ASJC Scopus subject areas

  • Acoustics and Ultrasonics

Cite this

Aristizabal, S., Carrascal, C. A., Bayter, T. E., Greenleaf, J. F., & Urban, M. W. (2017). Evaluation of the nonlinear modulus in renal transplant patients using progressive and regressive compression and shear wave measurements. In 2017 IEEE International Ultrasonics Symposium, IUS 2017 [8092912] IEEE Computer Society. https://doi.org/10.1109/ULTSYM.2017.8092912