Conditional Monte Carlo refers to sampling from the conditional distribution of a random vector X given value T ( ) = t for function . Classical methods were designed estimating expectations functions ϕ by unconditional distributions obtained certain weighting schemes. The basic ingredients use importance and change variables. In present paper we reformulate problem introducing an artificial pa...

background: inclusion of inhomogeneity corrections in intensity modulated small fields always makes conformal irradiation of lung tumor very complicated in accurate dose delivery. objective: in the present study, the performance of five algorithms via monte carlo, pencil beam, convolution, fast superposition and superposition were evaluated in lung cancer intensity modulated radiotherapy planni...