Optimization of a Pixel-to-Pixel Curve-Fitting Method for Poroelastography Imaging

Ultrasound poroelastography is an imaging modality used to characterize the temporal behavior of soft tissue that can be modeled as a solid permeated by interconnected pores filled with liquid (poroelastic medium). It could be useful in the stage classification of lymphedema. Generally, time-constan...

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Bibliographic Details
Published in:Ultrasound in medicine & biology Vol. 43; no. 1; pp. 309 - 322
Main Authors: Galaz, Belfor Antonio, Acevedo, Rodrigo Hernan
Format: Journal Article
Language:English
Published: England 01.01.2017
Subjects:
Algorithms
Elasticity Imaging Techniques - methods
Image Processing, Computer-Assisted - methods
Phantoms, Imaging
Porosity
Rheology
Viscoelasticity imaging
Rheologic models
Poroelastography
Ultrasound elastography
Creep test
ISSN:1879-291X
Online Access:Get more information
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Summary:Ultrasound poroelastography is an imaging modality used to characterize the temporal behavior of soft tissue that can be modeled as a solid permeated by interconnected pores filled with liquid (poroelastic medium). It could be useful in the stage classification of lymphedema. Generally, time-constant models are applied to strain images, and precision of the fitting process, computational cost and versatility in response to changes in tissues properties are crucial aspects of clinical applications. In the work described here, we performed creep experiments on poroelastic phantoms and used rheologic models to visualize the changes in viscoelastic response associated with fluid mobility. We used the Levenberg-Marquardt algorithm as a fitting tool and performed parametric studies to improve its performance. On the basis of these studies, we proposed an optimization schema for the pixel-to-pixel curve-fitting process. We determined that the bimodal Kelvin-Voigt model describes efficiently the temporal evolution of the strain images in heterogeneous phantoms.
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ISSN:1879-291X
DOI:10.1016/j.ultrasmedbio.2016.09.005