Abstract

As an important molecular imaging modality, optical imaging has attracted increasing attention in the recent years. Since the physical experiment is usually complicated and expensive, research methods based on simulation platforms have obtained extensive attention. We developed a simulation platform named Molecular Optical Simulation Environment (MOSE) to simulate photon transport in both biological tissues and free space for optical imaging based on noncontact measurement. In this platform, Monte Carlo (MC) method and the hybrid radiosity-radiance theorem are used to simulate photon transport in biological tissues and free space, respectively, so both contact and noncontact measurement modes of optical imaging can be simulated properly. In addition, a parallelization strategy for MC method is employed to improve the computational efficiency. In this paper, we study the photon transport problems in both biological tissues and free space using MOSE. The results are compared with Tracepro, simplified spherical harmonics method (S P n), and physical measurement to verify the performance of our study method on both accuracy and efficiency.

Highlights

  • Optical imaging has become a research focus over the past years for its high sensitivity, nonionizing radiation, and high cost-effectiveness [1, 2]

  • We developed a simulation platform named Molecular Optical Simulation Environment (MOSE) to simulate photon transport in both biological tissues and free space for optical imaging based on noncontact measurement

  • The parallelization strategy can improve the efficiency of Monte Carlo (MC) method significantly, the CPU-based parallelization computational system employed in this paper is difficult to be constructed and applied

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Summary

Introduction

Optical imaging has become a research focus over the past years for its high sensitivity, nonionizing radiation, and high cost-effectiveness [1, 2]. It simulates steady isotropic light source with arbitrary shape inside the tissues It provides various simulation information, including the photon absorption and transmittance information for each spectral band. When a photon packet is generating by light source, its initial position and movement direction are decided by the sampling operation. An approximation is employed here: generating a uniform unit random number ξ, if ξ ≤ R(θi), photon packet will be reflected totally, otherwise transmitted totally. This approximation will approach the exact solution if enough photon packets are simulated.

Hybrid Radiosity-Radiance Theorem for Free Space Photon Transfer
Experiments and Results
Discussion and Conclusion
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