NDLI: Inversion elasticity reconstruction of soft tissue using split-and-merge strategy from strain map of ultrasound image sequence

Content Provider	IEEE Xplore Digital Library
Author	Junbo Li Noble, A. Lianghao Han Burcher, M.
Copyright Year	2003
Description	Author affiliation: Dept. of Eng. Sci., Oxford Univ., UK (Junbo Li; Noble, A.)
Abstract	Progress in ultrasound elasticity imaging (UEI) shows promise as a new way for early detection of cancers by assessing elastic characteristics of soft tissue. However its diagnostic value is reduced by the inherent limitation of spatial and contrast resolution in ultrasound images. We propose a finite-element based nonlinear scheme to estimate the elasticity distribution of soft tissue. A 3D freehand ultrasound imaging system is used to deform tissue with certain contact forces at the same time as imaging. Image displacements are estimated. A split-and-merge strategy is presented for elasticity reconstruction from an image sequence. The L/sub 2/-error between the target and reconstructed Young's modulus is found to be less than 5% for a single inclusion model even with 20% noise level. This result is significantly better than previously reported work. Experimental results on a gelatine phantom are used to illustrate the properties with this method.
Starting Page	1927
Ending Page	1930
File Size	620263
Page Count	4
File Format	PDF
ISBN	0780379225
DOI	10.1109/ULTSYM.2003.1293293
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-10-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Elasticity Image reconstruction Biological tissues Capacitive sensors Ultrasonic imaging Image sequences Cancer detection Spatial resolution Image resolution Finite element methods
Content Type	Text
Resource Type	Article

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