title: Use of Gaussian beam model in predicting SAR distributions from current sheet applicators.
abstract: The Gaussian beam model is shown to be a good predictor of SAR distributions due to current sheet applicators (CSAs). It is fast, efficient and adaptable. SAR distributions from a single applicator and from simple arrays of CSAs in homogeneous and layered lossy media are computed at 434 and 450 MHz at CPU times of less than 60 s. The good agreement between theory and experiment justifies the use of the Gaussian beam model to predict SAR distributions from CSAs.
authors.affiliation: Department of Radiation Oncology, University of Arizona, Tucson 85724.
authors.forename: M L
authors.initials: ML
authors.lastname: Lumori
authors.forename: J W
authors.initials: JW
authors.lastname: Hand
authors.forename: M K
authors.initials: MK
authors.lastname: Gopal
authors.forename: T C
authors.initials: TC
authors.lastname: Cetas
mesh_terms: D003198:Computer Simulation; D006801:Humans; D006979:Hyperthermia, Induced / Q000295:instrumentation / Q000379:methods*