Jason Fiege,Boyd McCurdy,Peter Potrebko,Andrew Cull,Heather Champion,Murphy Berzish
申请号：
US13639400
公开号：
US09507886B2
申请日:
2011.06.07
申请国别(地区):
US
年份:
2016
代理人:
摘要：
A novel and powerful fluence and beam orientation optimization package for radiotherapy optimization, called PARETO (Pareto-Aware Radiotherapy Evolutionary Treatment Optimization), makes use of a multi-objective genetic algorithm capable of optimizing several objective functions simultaneously and mapping the structure of their trade-off surface efficiently and in detail. PARETO generates a database of Pareto non-dominated solutions and allows the graphical exploration of trade-offs between multiple planning objectives during IMRT treatment planning PARETO offers automated and truly multi-objective treatment plan optimization, which does not require any objective weights to be chosen, and therefore finds a large sample of optimized solutions defining a trade-off surface, which represents the range of compromises that are possible.
