title: The energy-dependent electron loss model: backscattering and application to heterogeneous slab media.
abstract: Electron backscattering has been incorporated into the energy-dependent electron loss (EL) model and the resulting algorithm is applied to predict dose deposition in slab heterogeneous media. This algorithm utilizes a reflection coefficient from the interface that is computed on the basis of Goudsmit-Saunderson theory and an average energy for the backscattered electrons based on Everhart's theory. Predictions of dose deposition in slab heterogeneous media are compared to the Monte Carlo based dose planning method (DPM) and a numerical discrete ordinates method (DOM). The slab media studied comprised water/Pb, water/Al, water/bone, water/bone/water, and water/lung/water, and incident electron beam energies of 10 MeV and 18 MeV. The predicted dose enhancement due to backscattering is accurate to within 3% of dose maximum even for lead as the backscattering medium. Dose discrepancies at large depths beyond the interface were as high as 5% of dose maximum and we speculate that this error may be attributed to the EL model assuming a Gaussian energy distribution for the electrons at depth. The computational cost is low compared to Monte Carlo simulations making the EL model attractive as a fast dose engine for dose optimization algorithms. The predictive power of the algorithm demonstrates that the small angle scattering restriction on the EL model can be overcome while retaining dose calculation accuracy and requiring only one free variable, chi, in the algorithm to be determined in advance of calculation.
authors.affiliation: School of Health Sciences. Purdue University, 1338 Civil Engineering Building. West Lafayette, IN 47907, USA.
authors.forename: Tae Kyu
authors.initials: TK
authors.lastname: Lee
authors.forename: George A
authors.initials: GA
authors.lastname: Sandison
mesh_terms: D000465:Algorithms; D001842:Bone and Bones; D003198:Computer Simulation; D004583:Electrons; D004735:Energy Transfer; D006801:Humans; D066298:In Vitro Techniques; D008168:Lung; D008954:Models, Biological; D009010:Monte Carlo Method; D019047:Phantoms, Imaging; D011786:Quality Control; D011874:Radiometry / Q000379:methods*; D011879:Radiotherapy Dosage; D011880:Radiotherapy Planning, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012542:Scattering, Radiation; D012680:Sensitivity and Specificity; D014867:Water
chemical_list: D014867:Water