Work

Maximum-likelihood approach to strain imaging using ultrasound

Year: 2000

Type: article

Abstract: A maximum-likelihood (ML) strategy for strain estimation is presented as a framework for designing and evaluating bioelasticity imaging systems. Concepts from continuum mechanics, signal analysis, and acoustic scattering are combined to develop a mathematical model of the ultrasonic waveforms used to form strain images. The model includes three-dimensional (3-D) object motion described by affine transformations, Rayleigh scattering from random media, and 3-D system response functions. The likelihood function for these waveforms is derived to express the Fisher information matrix and variance bounds for displacement and strain estimation. The ML estimator is a generalized cross correlator for pre- and post-compression echo waveforms that is realized by waveform warping and filtering prior to cross correlation and peak detection. Experiments involving soft tissuelike media show the ML estimator approaches the Cramer-Rao error bound for small scaling deformations: at 5 MHz and 1.2% compression, the predicted lower bound for displacement errors is 4.4 microns and the measured standard deviation is 5.7 microns.

Source: The Journal of the Acoustical Society of America

DOI: 10.1121/1.428429

Authors: M. F. Insana, L. T. Cook, M. Bilgen, P. Chaturvedi, Y. Zhu

Institution: University of Kansas Medical Center

Language: English

Topic: Ultrasound Imaging and Elastography

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: green

Funder: National Cancer Institute

Award: Ultrasonic Elasticity Imaging of the Breast