Optical Coherence Tomography Matlab

For your Project A (3D OCT Signal & Image Processing), you need to download the file containing 3D volumetric OCT raw data ("RawOCT.mat") from Canvas. The data consists of 1536 sampling points × 500 depth scans × 500 cross-sectional scans. Based on materials covered during the class, develop MATLAB OCT processing code and process the data with it.

After processing the data, write a project report which includes the following
information:
o OCT process flowchart:
• Describe each step in the process (with a flowchart) and include the
MATLAB script corresponding to the process step.
• Describe the fundamental principle of each step with a mathematical formula

  • Search for OCT literature referencing these steps and cite them
    properly (APA style)

Insert final processed parameters and images:
• Parameters:

  • Dispersion coefficients (up to 5th order)
  • Axial motion correction parameter plot
  • Interpolated tilt correction parameter plot
    • Images:
  • Representative cross-sectional OCT images (fast- and slow-scan
    directions)
  • En face projection image.