Reconstruction of elasticity and attenuation maps in shear wave imaging: An inverse approach

Armando Manduca; Vinayak Dutt; David T. Borup; Raja Muthupillai; Richard L. Ehman; James F. Greenleaf

doi:10.1007/bfb0056246

Reconstruction of elasticity and attenuation maps in shear wave imaging: An inverse approach

Armando Manduca, Vinayak Dutt, David T. Borup, Raja Muthupillai, Richard L. Ehman, James F. Greenleaf

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

13 Scopus citations

Abstract

Acoustic shear waves of low frequency can be detected and measured using a phase contrast based magnetic resonance imaging technique called MR Elastography or phase measurement based ultrasound techniques. Spatio-temporal variations of displacements caused by the propagating waves can be used to estimate local values of the elasticity of the object being imaged. The currently employed technique for estimating the elasticity from the wave displacement maps, the local frequency estimator (LFE), has fundamental resolution limits and also has problems with shadowing and other refraction-related artifacts. These problems can be overcome with an inverse approach using Green’s function integrals which directly solve the wave equation problem for the propagating wave. The complete measurements of wave displacements as a function of space and time over the object of interest obtained by the above techniques permit an iterative approach to inversion of the wave equation to obtain elasticity and attenuation maps.

Original language	English (US)
Title of host publication	Medical Image Computing and Computer-Assisted Intervention ─ MICCAI 1998 - 1st International Conference, Proceedings
Editors	William M. Wells, Alan Colchester, Scott Delp
Publisher	Springer Verlag
Pages	606-613
Number of pages	8
ISBN (Print)	3540651365, 9783540651369
DOIs	https://doi.org/10.1007/bfb0056246
State	Published - 1998
Event	1st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1998 - Cambridge, United States Duration: Oct 11 1998 → Oct 13 1998

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1496
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	1st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1998
Country/Territory	United States
City	Cambridge
Period	10/11/98 → 10/13/98

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/bfb0056246

Cite this

Manduca, A., Dutt, V., Borup, D. T., Muthupillai, R., Ehman, R. L., & Greenleaf, J. F. (1998). Reconstruction of elasticity and attenuation maps in shear wave imaging: An inverse approach. In W. M. Wells, A. Colchester, & S. Delp (Eds.), Medical Image Computing and Computer-Assisted Intervention ─ MICCAI 1998 - 1st International Conference, Proceedings (pp. 606-613). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1496). Springer Verlag. https://doi.org/10.1007/bfb0056246

Reconstruction of elasticity and attenuation maps in shear wave imaging: An inverse approach. / Manduca, Armando; Dutt, Vinayak; Borup, David T. et al.
Medical Image Computing and Computer-Assisted Intervention ─ MICCAI 1998 - 1st International Conference, Proceedings. ed. / William M. Wells; Alan Colchester; Scott Delp. Springer Verlag, 1998. p. 606-613 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1496).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Manduca, A, Dutt, V, Borup, DT, Muthupillai, R, Ehman, RL & Greenleaf, JF 1998, Reconstruction of elasticity and attenuation maps in shear wave imaging: An inverse approach. in WM Wells, A Colchester & S Delp (eds), Medical Image Computing and Computer-Assisted Intervention ─ MICCAI 1998 - 1st International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1496, Springer Verlag, pp. 606-613, 1st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1998, Cambridge, United States, 10/11/98. https://doi.org/10.1007/bfb0056246

Manduca A, Dutt V, Borup DT, Muthupillai R, Ehman RL , Greenleaf JF. Reconstruction of elasticity and attenuation maps in shear wave imaging: An inverse approach. In Wells WM, Colchester A, Delp S, editors, Medical Image Computing and Computer-Assisted Intervention ─ MICCAI 1998 - 1st International Conference, Proceedings. Springer Verlag. 1998. p. 606-613. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/bfb0056246

Manduca, Armando ; Dutt, Vinayak ; Borup, David T. et al. / Reconstruction of elasticity and attenuation maps in shear wave imaging : An inverse approach. Medical Image Computing and Computer-Assisted Intervention ─ MICCAI 1998 - 1st International Conference, Proceedings. editor / William M. Wells ; Alan Colchester ; Scott Delp. Springer Verlag, 1998. pp. 606-613 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Acoustic shear waves of low frequency can be detected and measured using a phase contrast based magnetic resonance imaging technique called MR Elastography or phase measurement based ultrasound techniques. Spatio-temporal variations of displacements caused by the propagating waves can be used to estimate local values of the elasticity of the object being imaged. The currently employed technique for estimating the elasticity from the wave displacement maps, the local frequency estimator (LFE), has fundamental resolution limits and also has problems with shadowing and other refraction-related artifacts. These problems can be overcome with an inverse approach using Green{\textquoteright}s function integrals which directly solve the wave equation problem for the propagating wave. The complete measurements of wave displacements as a function of space and time over the object of interest obtained by the above techniques permit an iterative approach to inversion of the wave equation to obtain elasticity and attenuation maps.",

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AB - Acoustic shear waves of low frequency can be detected and measured using a phase contrast based magnetic resonance imaging technique called MR Elastography or phase measurement based ultrasound techniques. Spatio-temporal variations of displacements caused by the propagating waves can be used to estimate local values of the elasticity of the object being imaged. The currently employed technique for estimating the elasticity from the wave displacement maps, the local frequency estimator (LFE), has fundamental resolution limits and also has problems with shadowing and other refraction-related artifacts. These problems can be overcome with an inverse approach using Green’s function integrals which directly solve the wave equation problem for the propagating wave. The complete measurements of wave displacements as a function of space and time over the object of interest obtained by the above techniques permit an iterative approach to inversion of the wave equation to obtain elasticity and attenuation maps.

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Reconstruction of elasticity and attenuation maps in shear wave imaging: An inverse approach

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