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Study on the Optimization Algorithms for Intensity-modulated Radiation Therapy

Author: LiYongJie
Tutor: YaoDeZhong
School: University of Electronic Science and Technology
Course: Biomedical Engineering
Keywords: IMRT Conjugate Gradient Method Genetic Algorithms Ziye optimization Beam direction optimization Expert knowledge
CLC: R730.5
Type: PhD thesis
Year: 2004
Downloads: 227
Quote: 5
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Abstract


Radiation therapy and surgical treatment and chemical medications, composed of three tumor treatment. From the classic three-dimensional conformal radiation therapy technology development to the IMRT (intensity-modulated radiotherapy IMRT) is a major change in the history of radiation oncology. But in view of the actual complexity of the problem, the advantages of IMRT also far from clinical applications completely played out. IMRT treatment plans as intensity-modulated radiotherapy core and foundation, of which there are many urgent problems. Algorithms research and clinical needs of the papers closely integrated to achieve and improve conventional IMRT optimization techniques, based on surrounding radiation field direction optimization, optimization speed, shorten the treatment time and other aspects of the issue in-depth, detailed and creative research. The main work done as follows: (1) home and abroad IMRT research; IMRT optimization algorithm deficiency and clinical needs; summarizes the conjugate gradient method (conjugate gradient, CG) and genetic algorithms (genetic algorithm the GA) characteristics and performance; expounded dose calculation model. These efforts laid the foundation for the follow-up study. (2) based on physical objective function, based on the optimization of the radiation field intensity distribution of the conjugate gradient method. In order to improve the performance of the optimization, we adopt a unique auxiliary organ dynamically adjust the dose point weight and dose characteristics matrix index technology. The case studies show that the algorithm has a fast, good effect, less user input parameters, has achieved very good results in clinical applications. (3) for the number of sub-wild multi static IMRT treatment, lack of treatment for a long time first proposed GA CG method optimization sub-field, reached a practical level. The technology is fully integrated with the advantages and characteristics of the GA method, creatively designed a GA encoding and the genetic manipulation mode, and taking into account the multi-leaf collimator (multileaf collimator, MLC) in the optimization process of the physical restrictions. The algorithm is foreign thesis reviewers evaluated as the's first solve Ziye optimization problem. (4) for the current method required a long time the lack of optimization of the beam direction, this paper creatively presented and the beam direction based on the \GA and CG to optimize the beam direction and beam intensity distribution. The designed encoding specific issues, genetic manipulation and unique immune operation processing. Be calculated in advance and save energy feature matrix and fitness calibration technology, to ensure the efficiency of the optimization. (5) first proposed and initially established a basic framework and processes based on expert knowledge to automatically select the beam direction (KBASE). KBASE technology fully experienced clinical experts and optimization algorithm combined. Successfully in the optimization of the use of two types of expert knowledge of the radiation field direction constraints and plan templates. The preliminary results of the study show that, KBASE is feasible and effective. (6) dose verify the clinical implementation of this dissertation optimization techniques. The preliminary test results show that the two MLC, the work IMRT dose calculation and implementation process is accurate and reliable.

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