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Software for dosimetry planning of photobiomodulation therapy treatments

Grant number: 17/15777-1
Support Opportunities:Research Grants - Innovative Research in Small Business - PIPE
Duration: July 01, 2019 - March 31, 2020
Field of knowledge:Biological Sciences - Biophysics - Radiology and Photobiology
Principal Investigator:Thereza Cury Fortunato
Grantee:Thereza Cury Fortunato
Host Company:Tergos Pesquisa e Ensino Ltda. - ME
CNAE: Desenvolvimento e licenciamento de programas de computador não-customizáveis
City: São Paulo
Associated researchers:Alessandra Tomal ; Alexandre Brincalepe Campo ; Hazem Adel Ashmawi ; Marucia Chacur
Associated grant(s):19/26782-1 - Software for dosimetry planning of photobiomodulation therapy treatments, AP.PIPE
Associated scholarship(s):19/22003-8 - Mapping optical properties of real biological tissues and simulators, BP.TT
19/16739-1 - Development and validation of dosimetry planning program for photobiomodulation therapy treatments, BP.PIPE


The objective of this project is to develop software to be used for planning treatments of photobiomodulation therapy (PBMT). The software intends to simulate the light distribution in biological tissue, in order to estimate the amount of light that reaches each region, and the amount of light absorbed in each of these regions. The motivation is to systematize and optimize the PBMT, as it is highly dependent on the optical parameters applied in the target-tissue, to obtain the desired biological effect. The simulation will be executed through the Monte Carlo method, for the propagation of light photons in biological tissue. The simulation will be validated through experimental measurements of light propagation in biological tissues and simulators. The focus of this project is the application of PBMT for pain treatment, which has deep target-tissues. Therefore, it is of great importance the planning of the treatment and the prevision of the optical parameters in tissue deep layers. Furthermore, the simulation of light distribution in tissues will be integrated with a graphical interface. Thus, the determination of tissue components present in each treated tissue region is facilitated, as well as the visualization of the treatment planning. At the first stage of the project, the integration will be modeled for a PBMT transcranial treatment. The target audience for this software is the health professional that use PBMT in their clinical practice. Therefore, the software will help these professionals to make treatment planning more reliable, optimized and systematic. (AU)

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