A boundary migration model for imaging within volumetric scattering media.

Area of Science:

• Optics
• Imaging Science
• Computational Imaging

Background:

• Imaging through scattering media is challenging due to signal attenuation and background noise.
• Existing methods struggle with highly scattering environments and low signal-to-noise ratios.
• Macroscopic imaging in scattering media requires robust techniques.

Purpose of the Study:

• To develop a novel method for imaging Lambertian objects embedded in highly scattering media.
• To address challenges of signal attenuation and background photon coupling.
• To improve reconstruction precision and scattering strength compared to existing techniques.

Main Methods:

• A time-to-space boundary migration model (BMM) was developed to process scattered optical signals.
• The BMM converts spectral measurements into temporal domain scene information.
• Experiments were conducted on 2D and 3D Lambertian objects in polyethylene foam and fog.

Main Results:

• The proposed BMM successfully reconstructed Lambertian objects in highly scattering media.
• Reconstruction was achieved even with only 0.75% signal photons at depths exceeding 25 transport mean free paths.
• The method demonstrated superior reconstruction precision and scattering strength over time gating.

Conclusions:

• The boundary migration model (BMM) offers an effective solution for imaging in challenging scattering conditions.
• The technique shows significant potential for macroscopic imaging applications due to its precision and speed.
• Low reconstruction complexity and millisecond-scale runtime facilitate practical implementation.