Stability and Discretization Techniques for Elliptic Inverse Parameter Problems in Elastography - Application to Breast Tumor Detection

Stability and Discretization Techniques for Elliptic Inverse Parameter Problems in Elastography - Application to Breast Tumor Detection

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An hybrid (multi-physics) imaging method

7 of 26

7 of 26

An hybrid (multi-physics) imaging method

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Stability and Discretization Techniques for Elliptic Inverse Parameter Problems in Elastography - Application to Breast Tumor Detection

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  1. 1 Intro
  2. 2 The reduced elastography problem
  3. 3 Elastography from internal data
  4. 4 Quasi-static deformation of a phantom
  5. 5 Quasi-static elastography
  6. 6 Reconstruct the corresponding shear modulus
  7. 7 An hybrid (multi-physics) imaging method
  8. 8 Inversion step 1: recover the displacement
  9. 9 Inversion step 2: recover the shear modulus
  10. 10 Available inversion algorithms (1)
  11. 11 Available inversion algorithms (2)
  12. 12 Current chalenges for medical elastography
  13. 13 A general equation
  14. 14 The Reverse Weak Formulation
  15. 15 Reverse Weak Formulation discretization
  16. 16 Approximation of the operator
  17. 17 Questions
  18. 18 A model problem: discretization
  19. 19 Inf-sup constant for the operator T
  20. 20 Generalized inf-sup constant
  21. 21 Discrete inf-sup constant
  22. 22 Upper semi-continuity of the inf-sup constant
  23. 23 honeycomb finite element
  24. 24 Inverse gradient problem: behavior of 8(T)
  25. 25 Reconstruction for the honeycomb
  26. 26 In vivo quasistatic elastography

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