Papers by Omolbanin Bozorg
Iranian Journal of Fuzzy Systems, 2011
Although many methods exist for intensity modulated radiotherapy (IMRT) fluence map optimization ... more Although many methods exist for intensity modulated radiotherapy (IMRT) fluence map optimization for crisp data, based on clinical practice, some of the involved parameters are fuzzy. In this paper, the best fluence maps for an IMRT procedure were identifed as a solution of an optimization problem with a quadratic objective function, where the prescribed target dose vector was fuzzy. First, a defuzzyingprocedure was introduced to change the fuzzy model of the problem into an equivalent non-fuzzy one. Since the solution set was nonconvex, the optimal solution was then obtained by performing a projection operation in applying the gradient method. Numerical simulations for two typical clinical cases (for prostate and head-and-neck cancers, each for two patients) are given.
2009 International Conference on Signal Processing Systems, 2009
Based on the clinical witnesses, in the IMRT some of the parameter are fuzzy. In the paper, the b... more Based on the clinical witnesses, in the IMRT some of the parameter are fuzzy. In the paper, the best treatment was shown as a solution of an optimization problem with quadratic objective function, where the prescribed target dose vector is fuzzy. Then the defuzzying procedure was done and since the solution set was non-convex, the optimal solution was obtained by
Although many methods exist for intensity modulated radiother-apy (IMRT) fluence map optimization... more Although many methods exist for intensity modulated radiother-apy (IMRT) fluence map optimization for crisp data, based on clinical practice, some of the involved parameters are fuzzy. In this paper, the best fluence maps for an IMRT procedure were identifed as a solution of an optimization problem with a quadratic objective function, where the prescribed target dose vector was fuzzy. First, a defuzzying procedure was introduced to change the fuzzy model of the problem into an equivalent non-fuzzy one. Since the solution set was nonconvex, the optimal solution was then obtained by performing a projection operation in applying the gradient method. Numerical simulations for two typical clinical cases (for prostate and head-and-neck cancers, each for two patients) are given.
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Papers by Omolbanin Bozorg