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MR validation of soft tissue mimicing phantom deformation as modeled by nonlinear finite element analysis
Author(s) -
Sciarretta Justin,
Samani Abbas,
Bishop Jonathan,
Plewes Donald B.
Publication year - 2002
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.1420733
Subject(s) - imaging phantom , finite element method , materials science , nonlinear system , deformation (meteorology) , compression (physics) , stiffness , poisson's ratio , mechanics , poisson distribution , biomedical engineering , geometry , physics , mathematics , optics , composite material , engineering , statistics , quantum mechanics , thermodynamics
A study of the applicability of nonlinear finite element analysis (FEA) to predict soft tissue deformation was validated with phase contrast magnetic resonance velocity imaging. A phantom of varying stiffness was placed in a special purpose, computer controlled MR compatible compression apparatus which provided precise, time varying compression with surface deformations on the order of 11%. The resulting motion was measured with MR velocity images acquired throughout the cycle of compression. The phantom geometry was modeled with a finite element mesh and the mechanical properties of the phantom material were measured and incorporated in the FEA model. The motion as calculated by the FEA model was compared to the motion measured with MRI and the results were found to vary with the material's Poisson's ratio and the coefficient of friction. A minimum difference was reached when the Poisson's ratio and coefficient of friction were set to 0.485 and 0.3, respectively. Under these conditions, the root mean square difference was found to be 14.4%.