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Research on the Evolution Strategy of Multi-objective Optimization for IMRT Inverse Planning

Author: LinLin
Tutor: ChenQingZhang；LiGuoLi
School: Zhejiang University of Technology
Course: Applied Computer Technology
Keywords: Intensity Modulated Radiation Therapy Inverse Planning Genetic Algorithms Multi-objective optimization Evolutionary strategy
CLC: R730.5
Type: Master's thesis
Year: 2009
Downloads: 21
Quote: 1
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Abstract


Radiation therapy and surgical treatment and chemical medications , composed of three tumor treatment . IMRT is an advanced three-dimensional conformal radiation therapy technology , widely used in clinical cancer therapy in recent years , it is characterized by the intensity of the radiation field ray beam is adjustable variable intensity ray beam irradiation tumor target , it is possible to obtain a relatively homogeneous dose distribution and prevent high doses of falling into the surrounding sensitive organs and tissues , and thereby improve the therapeutic effect . Optimization algorithm as the core and foundation of IMRT inverse planning , of which there are many problems to be solved . Practical IMRT planning system reverse process mostly single target , does not comply with the multi-objective characteristics of inverse planning , it is necessary to study in the theory on the basis of multi-objective optimization algorithm radiotherapy inverse planning algorithm based multi-objective optimization . The papers work : 1. Of radiotherapy basics , of IMRT the development process , classification, the research status at home and abroad were summarized , analyzed the current IMRT optimization algorithm which insufficient ; 2 . Optimization theoretical knowledge , the current IMRT inverse planning optimization algorithm applied to the analysis and comparison of the advantages and disadvantages of the various algorithms and evolutionary strategies for subsequent IMRT inverse planning multi-objective optimization algorithm provides a theoretical basis ; 3. genetic algorithm based on multi- objective evolutionary strategy IMRT inverse planning , improved multi-objective genetic algorithm NSGA-Ⅱ test function to verify the effectiveness of the improved algorithm ; 4. improved NSGA-Ⅱ IMRT inverse planning system platform MOTPS algorithm is applied to the paper improved algorithm and optimization algorithm of the preliminary work of the project team , through a practical example inverse planning comparison , the results show that the NSGA-Ⅱ algorithm has improved the speed advantage from the get Pareto non- inferior solution concentrated to obtain a satisfactory solution to meet the clinical needs ;

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CLC: > Medicine, health > Oncology > General issues > Tumor Therapy
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