Linear approach to axial resolution in elasticity imaging

Thus far axial resolution in elasticity imaging has been addressed only empirically. No clear analytical approaches have emerged because the estimator is nonlinear in the data, correlation functions are nonstationary, and system responses vary spatially. This paper describes a linear systems approac...

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Bibliographic Details
Published in:IEEE transactions on ultrasonics, ferroelectrics, and frequency control ferroelectrics, and frequency control, 2004-06, Vol.51 (6), p.716-725
Main Authors: Jie Liu, Abbey, C.K., Insana, M.F.
Format: Article
Language:English
Subjects:
Acoustics
Animals
Axial strain
Biomedical measurements
Capacitive sensors
Computational modeling
Computer Simulation
Connective Tissue - diagnostic imaging
Connective Tissue - physiology
Correlation
Elasticity
Exact sciences and technology
Exact solutions
Fundamental areas of phenomenology (including applications)
General equipment and techniques
Humans
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Image resolution
Imaging
Imaging phantoms
Impulse response
Instrumentation
Instruments, apparatus, components and techniques common to several branches of physics and astronomy
Linear Models
Linear systems
Mathematical analysis
Models, Biological
Phantoms, Imaging
Physics
Reproducibility of Results
Scattering, Radiation
Sensitivity and Specificity
Spatial resolution
Strain measurement
Transducers
Transfer functions
Ultrasonics, quantum acoustics, and physical effects of sound
Ultrasonography - instrumentation
Ultrasonography - methods
Viscosity
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Summary:Thus far axial resolution in elasticity imaging has been addressed only empirically. No clear analytical approaches have emerged because the estimator is nonlinear in the data, correlation functions are nonstationary, and system responses vary spatially. This paper describes a linear systems approach based on a small-strain impulse approximation that results in the derivation of a local impulse response (LIR) and local modulation transfer function (LMTF). Closed-form Solutions for strain LIR are available to provide new insights on the role of instrumentation and processing on axial strain resolution. Novel phantom measurements are generated to validate results. We found that the correlation window determines axial resolution in most practical situations, but that the the same system properties that determine B-mode resolution ultimately limit elasticity imaging.
ISSN:0885-3010
1525-8955
DOI:10.1109/TUFFC.2004.1304270