DocumentCode :
1819283
Title :
Variance controlled shear stiffness images for MRE data
Author :
Mclaughlin, J. ; Renzi, D. ; Yoon, J.R. ; Ehman, R.L. ; Manduca, A.
Author_Institution :
Dept. of Math, Rensselaer Polytech. Inst., Troy, NY
fYear :
2006
fDate :
6-9 April 2006
Firstpage :
960
Lastpage :
963
Abstract :
In the magnetic resonance elastography experiment we consider a harmonically oscillating mechanical force applied to the boundary surface of a phantom and synchronized with the motion encoding gradient. The phantom is symmetric in the direction of the applied mechanical force and the vector component in that direction decouples from the other components and satisfies a Helmholtz equation. We present a local inversion method to determine the shear wave speed that: (1) treats the phase and amplitude of the data differently; (2) computes derivatives of the data by using statistically justified filtering; and (3) varies filters according to SNR. We test our methods on data from Mayo Clinic and recover the position and stiffness of a 3 mm diameter inclusion
Keywords :
Helmholtz equations; biomechanics; biomedical MRI; elastic waves; filtering theory; gradient methods; image coding; image motion analysis; phantoms; shear modulus; Helmholtz equation; MRE data; harmonically oscillating mechanical force; inclusion; local inversion method; magnetic resonance elastography; motion encoding gradient; phantom; shear wave speed; statistically justified filtering; variance controlled shear stiffness images; Displacement measurement; Encoding; Equations; Imaging phantoms; Magnetic resonance; Motion measurement; Power harmonic filters; Signal to noise ratio; Smoothing methods; Time measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-9576-X
Type :
conf
DOI :
10.1109/ISBI.2006.1625079
Filename :
1625079
Link To Document :
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