Minimize flow-induced uncertainty in polarization sensitive optical coherence tomography imaging using eigen
Blood flow disrupts polarization measurements in optical coherence tomography. A new eigen decomposition method separates static and dynamic signals, enabling accurate polarization-sensitive optical coherence tomography (PSOCT) of underlying tissues, even with blood flow present.
Area of Science:
- Biomedical Optics
- Optical Coherence Tomography
- Photonics
Background:
- Blood flow introduces instability in polarization measurements during polarization-sensitive optical coherence tomography (PSOCT).
- This instability complicates the analysis of subsurface tissue properties.
- Accurate polarization measurements are crucial for various biomedical applications.
Purpose of the Study:
- To develop a method to overcome polarization instability caused by blood flow in PSOCT.
- To enable reliable polarization measurements of tissues beneath blood flow.
- To validate the proposed method using phantoms and in vivo imaging.
Main Methods:
- An eigen decomposition method was proposed to separate static and dynamic scattering signals.
- Flow phantoms using Intralipid solution and 3D-printed birefringent materials were utilized.
- In vivo imaging of the human nail fold was performed to demonstrate the method's utility.
Main Results:
- The eigen decomposition method successfully separated static and dynamic scattering signals.
- Flow-induced effects on optical axis, phase retardation, and degree of polarization uniformity were quantified.
- The method provided stable polarization measurements in the presence of simulated blood flow.
Conclusions:
- The proposed eigen decomposition method effectively addresses polarization instability in PSOCT caused by blood flow.
- This technique enhances the reliability of subsurface tissue polarization measurements.
- The method shows promise for in vivo applications, as demonstrated in human nail fold imaging.
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