Performance analysis of a new real-time elastographic time constant estimator

Sanjay P. Nair, Xu Yang, Thomas A. Krouskop, Raffaella Righetti

Research output: Contribution to journalArticle

20 Scopus citations

Abstract

New elastographic techniques such as poroelastography and viscoelasticity imaging aim at imaging the temporal mechanical behavior of tissues. These techniques usually involve the use of curve fitting methods being applied to noisy data to estimate new elastographic parameters. As of today, however, current elastographic implementations of poroelastography and viscoelasticity imaging methods are in general too slow and not optimized for clinical applications. Furthermore, image quality performance of these new elastographic techniques is still largely unknown due to a paucity of data and the lack of systematic studies that analyze their performance limitations. In this paper, we propose a new elastographic time constant (TC) estimator, which is based on the use of the least square error (LSE) curve-fitting method and the LevenbergMarquardt (LM) optimization rule as applied to noisy elastographic data obtained from a material in a creep-type experiment. The algorithm is executed on a massively parallel general purpose graphics processing unit (GPGPU) to achieve real-time performance. The estimator's performance is analyzed using simulations. Experimental results obtained from poroelastic phantoms are presented as a proof of principle of the new estimator's technical applicability on real experimental data. The results of this study demonstrate that the newly proposed elastographic estimator can produce highly accurate and sensitive elastographic TC estimates in real-time and at high signal-to-noise ratios.

Original languageEnglish (US)
Article number5601783
Pages (from-to)497-511
Number of pages15
JournalIEEE Transactions on Medical Imaging
Volume30
Issue number2
DOIs
StatePublished - Feb 1 2011

Keywords

  • Elastography
  • LevenbergMarquardt (LM)
  • elasticity imaging
  • elastogram
  • imaging
  • least square error (LSE)
  • poroelasticity
  • poroelastography
  • porous
  • real-time imaging
  • strain
  • time constant
  • ultrasound
  • viscoelasticity

ASJC Scopus subject areas

  • Software
  • Radiological and Ultrasound Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

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