Fast determination of the spatially distributed photon fluence for light dose evaluation of PDT

Kuanxin Zhao; Weiting Chen; Tongxin Li; Panpan Yan; Zhuanping Qin; Huijuan Zhao

doi:10.1117/12.2287098

14 February 2018 Fast determination of the spatially distributed photon fluence for light dose evaluation of PDT

Kuanxin Zhao, Weiting Chen, Tongxin Li, Panpan Yan, Zhuanping Qin, Huijuan Zhao

Proceedings Volume 10467, Photonics in Dermatology and Plastic Surgery 2018; 1046711 (2018) https://doi.org/10.1117/12.2287098
Event: SPIE BiOS, 2018, San Francisco, California, United States

Abstract

Photodynamic therapy (PDT) has shown superiorities of noninvasiveness and high-efficiency in the treatment of early-stage skin cancer. Rapid and accurate determination of spatially distributed photon fluence in turbid tissue is essential for the dosimetry evaluation of PDT. It is generally known that photon fluence can be accurately obtained by Monte Carlo (MC) methods, while too much time would be consumed especially for complex light source mode or online real-time dosimetry evaluation of PDT. In this work, a method to rapidly calculate spatially distributed photon fluence in turbid medium is proposed implementing a classical perturbation and iteration theory on mesh Monte Carlo (MMC). In the proposed method, photon fluence can be obtained by superposing a perturbed and iterative solution caused by the defects in turbid medium to an unperturbed solution for the background medium and therefore repetitive MMC simulations can be avoided. To validate the method, a non-melanoma skin cancer model is carried out. The simulation results show the solution of photon fluence can be obtained quickly and correctly by perturbation algorithm.

Citation Download Citation

Kuanxin Zhao, Weiting Chen, Tongxin Li, Panpan Yan, Zhuanping Qin, and Huijuan Zhao "Fast determination of the spatially distributed photon fluence for light dose evaluation of PDT", Proc. SPIE 10467, Photonics in Dermatology and Plastic Surgery 2018, 1046711 (14 February 2018); https://doi.org/10.1117/12.2287098

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