Perturbation Monte Carlo methods for tissue structure alterations.

Area of Science:

• Biomedical Optics
• Computational Physics
• Medical Imaging

Background:

• Current perturbation Monte Carlo methods are limited and cannot model variations in the light phase function.
• Accurate modeling of light transport is crucial for understanding biomedical optics and developing diagnostic tools.

Purpose of the Study:

• To develop and validate an extended perturbation Monte Carlo method capable of modeling arbitrary phase function perturbations.
• To demonstrate the computational efficiency of the new method compared to conventional Monte Carlo simulations for biomedical light transport problems.

Main Methods:

• Derivation of a rigorous perturbation Monte Carlo extension for light transport.
• Application of the method to tissue light scattering models relevant to epithelial tumors.
• Testing with variations in scatterer number density, size, and wavelength.

Main Results:

• The extended perturbation Monte Carlo method accurately models light transport with perturbed phase functions.
• Significant computational efficiency gains are achieved as only one baseline simulation is required for related problems.
• Accurate results were obtained for scattering parameter variations of approximately 15-25%.

Conclusions:

• The developed perturbation Monte Carlo extension offers a more versatile and computationally efficient approach for modeling complex light transport in biomedical applications.
• This method is particularly valuable for simulating scenarios involving variations in tissue optical properties, such as those found in tumor microenvironments.