Wavelet transform-based strain estimator for medical imaging

Mehmet Bilgen, Michael Insana, Larry T. Cook

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

Abstract

A new signal processing algorithm based on a Wavelet Transform (WT) is proposed for instantaneous strain estimation in acoustic elastography, where the interior elasticity distribution of a biological tissue is imaged. The proposed estimator weights ultrasonic echo signals acquired before tissue compression by a Gaussian window function and uses the resulting waveform as a mother wavelet to calculate the WT of the postcompression signal. Strain is estimated from the location of the WT peak in the time-frequency domain. To analyze the performance of the proposed estimator, strain errors are investigated. Estimates are shown to be unbiased while variances depend on the echo signal-to-noise ratio, bandwidth, time-bandwidth product, and the applied strain. The results are compared with those obtained from the current strain estimator based on time-delay estimates. The proposed estimator has the advantage of producing unbiased strain estimates with greater precision and potentially higher spatial resolution, dynamic ranger and sensitivity at the expense of increased computation time.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis
PublisherIEEE
Pages65-68
Number of pages4
StatePublished - 1998
Externally publishedYes
EventProceedings of the 1998 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis - Pittsburgh, PA, USA
Duration: Oct 6 1998Oct 9 1998

Other

OtherProceedings of the 1998 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis
CityPittsburgh, PA, USA
Period10/6/9810/9/98

ASJC Scopus subject areas

  • Engineering(all)

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