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Automatic generation of patient-specific radiation therapy planning parameters
专利权人:
Qingrong Jackie Wu
发明人:
Qingrong Jackie Wu,Yaorong Ge,Fang-Fang Yin,Xiaofeng Zhu
申请号:
US13184746
公开号:
US08976929B2
申请日:
2011.07.18
申请国别(地区):
US
年份:
2015
代理人:
摘要:
An apparatus and method for automatically generating radiation treatment planning parameters are disclosed. In accordance with the illustrative embodiment, a database is constructed that stores: (i) patient data and past treatment plans by expert human planners for these patients, and (ii) optimal treatment plans that are generated using multi-objective optimization and Pareto front search and that represent the best tradeoff opportunities of the patient case, and a predictive model (e.g., a neural network, a decision tree, a support vector machine [SVM], etc.) is then trained via a learning algorithm on a plurality of input/output mappings derived from the contents of the database. During training, the predictive model is trained to identify and infer patterns in the treatment plan data through a process of generalization. Once trained, the predictive model can then be used to automatically generate radiation treatment planning parameters for new patients.
来源网站:
中国工程科技知识中心
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http://www.ckcest.cn/home/

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