High-accuracy optical coherence elastography digital volume correlation methods to measure depth regions with low...

Area of Science:

• Biomedical Engineering
• Optical Imaging
• Biophysics

Background:

• Optical coherence tomography (OCT) struggles with depth-dependent signal correlation, limiting digital volume correlation (DVC) in optical coherence elastography (OCE).
• Accurate measurement of deep tissue deformation is crucial for understanding various biological processes and diseases.

Purpose of the Study:

• To develop an improved OCE-DVC method for characterizing biological tissue deformation in deeper regions.
• To overcome the depth limitations of current OCT-based elastography techniques.

Main Methods:

• Proposed a reliability layer guided displacement tracking strategy for OCE-DVC.
• Implemented parallel computing and layer-by-layer adaptive data reading for high-resolution OCT image processing.
• Applied the OCE-DVC method to quantify displacement and strain in deep tissue regions.

Main Results:

• Nearly doubled the depth of quantitative characterization for displacement and strain.
• Reduced the standard deviation of displacement and strain measurements by approximately 78% at increased depth.
• Successfully tracked displacement with large strain gradients in deep, nonuniformly deforming tissue.

Conclusions:

• The proposed OCE-DVC method enhances quantitative characterization of deep tissue biomechanics.
• The method offers improved accuracy and depth penetration compared to conventional techniques.
• This advancement has significant implications for in-vivo tissue analysis and disease diagnosis.