title: Radiance modelling using the P3 approximation.
abstract: Light dosimetry is an essential component of effective photodynamic therapy (PDT) of tumours. Present PDT light dosimetry techniques rely on fluence-based models and measurements. However, in a previous paper by Barajas et al, radiance-based light dosimetry was explored as an alternative approach. Although successful in demonstrating the use of Monte Carlo (MC) simulations of radiance in tissue optical characterization, the MC proved time consuming and impractical for clinical applications. It was proposed that an analytical solution to the transport equation for radiance would be desirable as this would facilitate and increase the speed of tissue characterization. It has been found that the P3 approximation is one such potential solution. Radiance and fluence expressions based on the P3 approximation were used to optically characterize an Intralipid-based tissue phantom of varying concentration of scatterer (Intralipid) and absorber (methylene blue) using a plane wave illuminated, semi-infinite medium geometry. The results obtained compare favourably with the Grosjean approximation of fluence (a modified diffusion theory) using the same optical parameters (mu(a), mu(s), g). The results illustrate that radiance-based light dosimetry is a viable alternative approach to tissue characterization and dosimetry. It is potentially useful for clinical applications because of the limited number of invasive measurements needed and the speed at which the tissue can be characterized.
authors.affiliation: Department of Surgery, Cross Cancer Institute, Edmonton, Alberta, Canada.
authors.forename: D
authors.initials: D
authors.lastname: Dickey
authors.forename: O
authors.initials: O
authors.lastname: Barajas
authors.forename: K
authors.initials: K
authors.lastname: Brown
authors.forename: J
authors.initials: J
authors.lastname: Tulip
authors.forename: R B
authors.initials: RB
authors.lastname: Moore
mesh_terms: D003627:Data Interpretation, Statistical; D005217:Fat Emulsions, Intravenous; D007834:Lasers; D008433:Mathematics; D008751:Methylene Blue; D008962:Models, Theoretical; D019047:Phantoms, Imaging; D010778:Photochemotherapy; D011880:Radiotherapy Planning, Computer-Assisted
chemical_list: D005217:Fat Emulsions, Intravenous; D008751:Methylene Blue