Three‐dimensional static optical coherence elastography based on inverse compositional Gauss‐Newton digital volume correlation

• DOI: 10.1002/jbio.201800422
• Publication Date: 2019-04-22T11:19:50Z
• Authors: Fanchao Meng; Cheng Chen; Shun Hui; Jingbo Wang; Yvlong Feng; Cuiru Sun
• Keywords: Models, Statistical; Phantoms, Imaging; Lasers; Reproducibility of Results; 01 natural sciences; Motion; Imaging, Three-Dimensional; Tensile Strength; Calibration; 0103 physical sciences; Image Processing, Computer-Assisted; Animals; Anisotropy; Elasticity Imaging Techniques; Poisson Distribution; Stress, Mechanical; Muscle, Skeletal; Shear Strength; Chickens; Algorithms; Software; Tomography, Optical Coherence

Abstract The three‐dimensional (3D) mechanical properties characterization of tissue is essential for physiological and pathological studies, as biological mostly heterogeneous anisotropic. A digital volume correlation (DVC)‐based 3D optical coherence elastography (OCE) method developed to measure the displacement strain tensors. DVC algorithm includes a zero‐mean normalized cross‐correlation criterion‐based coarse search regime, an inverse compositional Gauss‐Newton fine local ternary quadratic polynomial fitting calculation method. tomography (OCT) scanning protocol proposed through theoretical analysis experimental verification. Measurement errors DVC‐based OCE are evaluated be less than 2.0 μm displacements 0.30% strains by rigid body motion experiments. phantom specimen chicken breast under compression measured. Results show good agreement with tensile testing. indicate anisotropic biomechanical properties. This study provides effective property studies soft improves development techniques.