Fast and high-resolution optical coherence tomography reconstruction via a resampling-free spectral fitting...

Area of Science:

• Biomedical Optics
• Medical Imaging Technology

Background:

• Traditional Fourier Transform (FFT) algorithms in Optical Coherence Tomography (OCT) are limited by resampling pre-processing and light source spectrum, impacting speed and axial resolution.
• Widespread OCT application is hindered by constraints on speed and axial resolution.

Purpose of the Study:

• To propose and evaluate a novel spectral fitting-based method for fast and high-resolution OCT reconstruction.
• To overcome the limitations of existing OCT reconstruction algorithms.

Main Methods:

• Developed a spectral fitting model to establish a linear relationship between interferometric spectrum and imaging depth.
• Constructed a spectral fitting framework to derive a system coefficient matrix.
• Reconstructed depth profiles via matrix multiplication between the system matrix and measured spectra.

Main Results:

• The spectral fitting method demonstrated efficient depth profile reconstruction.
• Comparative analysis showed the proposed method's superiority over Autoregressive (AR) and Iterative Adaptive Approach (IAA) methods.
• The method achieved significant improvements in speed and axial resolution for OCT imaging.

Conclusions:

• The spectral fitting-based method offers a promising approach for achieving fast and high-resolution OCT imaging.
• This technique has strong potential for real-time biomedical imaging applications.
• The proposed method effectively addresses key limitations in current OCT reconstruction.