Gradient based elastic property reconstruction in digital image correlation elastography
Aim: A Conjugate Gradient implementation of the Digital Image Correlation Elastography method is presented. Method: The gradient is calculated using the adjoint method, requiring only two forward solutions regardless of the number of mechanical properties to reconstruct. A power-law based multi-freq...
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Veröffentlicht in: | Journal of medical physics 2020-07, Vol.45 (3), p.168-174 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | Aim: A Conjugate Gradient implementation of the Digital Image Correlation Elastography method is presented. Method: The gradient is calculated using the adjoint method, requiring only two forward solutions regardless of the number of mechanical properties to reconstruct. A power-law based multi-frequency viscoelastic model is used to relate the reconstructed mechanical properties and the Digital Image Correlation surface displacement measurements. Result: The method is tested against harmonic surface motion fields generated through numerical simulation and measured on a silicon phantom. Conclusion: Reconstruction results show the ability of the gradient reconstruction method to detect stiff internal inclusions in simulated and phantom data. |
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ISSN: | 0971-6203 1998-3913 |
DOI: | 10.4103/jmp.JMP_99_19 |