Four-dimensional (4D) phase velocity optical coherence elastography in heterogeneous materials and biological tissue
Hsiao-Chuan Liu1, Piotr Kijanka1,2, Matthew W Urban1,3
1Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA.
This study introduces a novel 4D-OCE phase velocity method for analyzing soft tissue mechanical properties. This technique offers enhanced insights into tissue variations across different frequencies, aiding clinical diagnosis.
Area of Science:
- Biomedical Optics
- Medical Imaging
- Biophysics
Background:
- Mechanical property variations in soft tissues serve as crucial biomarkers for clinical diagnosis and disease monitoring.
- Optical coherence elastography (OCE) is a developed technique for investigating biological tissue mechanics, typically analyzing time-domain data to estimate shear wave group velocity.
Purpose of the Study:
- To propose and evaluate a novel method, 4D-OCE phase velocity, for assessing mechanical properties of biological tissues.
- To enable local estimation of phase velocity for propagating mechanical waves in a medium across various frequencies (x, y, z, f).
Main Methods:
- Development and application of a four-dimensional optical coherence elastography (4D-OCE) phase velocity technique.
- Acquisition and analysis of data from homogeneous and heterogeneous phantoms, and ex vivo porcine kidney tissue.
- Comparison with conventional 3D-OCE group velocity estimation and numerical simulations of wave propagation.
Main Results:
- The 4D-OCE phase velocity method successfully estimated local phase velocities of mechanical waves in tested samples.
- Demonstrated capability to analyze mechanical properties with respect to frequency, providing additional information beyond group velocity.
- Numerical simulations illustrated wave propagation boundary behaviors.
Conclusions:
- The proposed 4D-OCE phase velocity method offers a significant advancement in OCE.
- This technique provides deeper insights into the spatial variation of mechanical properties in biological tissues as a function of frequency.
- Enhanced understanding of tissue mechanics can improve diagnostic and monitoring capabilities.
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