The Research Of Adaptive Optimal Algorithm Based On IMRT And VMAT And Its Applications

The thesis investigated the adaptive optimal algorithm based on IMRT/VMAT and verifiedthe feasibility of this new optimal algorithm: AOP.While bearing the benefit of time efficiency, IMRT techniques face the deterioration of planquality due to minimization of intensity modulation in exchange for fast delivery of treatmentplan. In order to achieve an optimal compromise between plan quality and delivery efficiency, avariant of adaptive optimal algorithm is proposed in this study, which provides a solution tocalculate a single-arc IMRT plan with the minimized numbers of beams and the minimized levelsof their intensities on the basis of the fast-monotonic-descent algorithm. The verifications wereestablished on the simulation human phantom(head-neck, abdomen), the evaluation methods suchas isodose lines, DVH and other parameters by the commercial treatment planning system wereused.The optimized results were evaluated on the simulated abdomen phantom and head-neckphantom, retrospectively. The proposed AOP provided an effective way to reach a single-arc planwith the best compromise between dose quality and delivery efficiency, it’s competent for theapplications of the upcoming surge of rapid delivery of treatment plan on the simulated abdomenand head-neck phantom.