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Solution of the nonlinear elasticity imaging inverse problem: the compressible case

2008
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Inverse Problems
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We discuss and solve an inverse problem in nonlinear elasticity imaging in which we recover spatial distributions of hyperelastic material properties from measured displacement fields. This problem has applications to elasticity imaging of soft tissue because the strain dependence of the apparent stiffness may potentially be used to differentiate between malignant and normal tissues. We account for the geometric and material nonlinearity of the tissues by assuming a known hyperelastic model for

doi:10.1088/0266-5611/24/4/045010
fatcat:gimd6gmhgrh27mr27zhh5d7gle