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To report the available data about the potential impact of integrating lung perfusion SPECT/CT in treatment plans optimization for the irradiation of thoracic targets.
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However, plan optimization may not produce the optimal plan, and the treatment planner may need to repeat the optimization.
After determined the candidate locations for SVC, the dynamic VAR planning optimization is performed to search the most optimal SVC investment amount.
VMAT gives an optimal treatment delivery for lots of tumors; nevertheless, treatment plan optimization and dose calculation are more complex and need a longer planning time.
TVFs after the planning optimization is 0.046.
There are two main issues in dynamic VAR planning optimization.
The planning optimization is solved based on improved Tent mapping chaos multi-objective optimization algorithm.
In addition, emergency rescue vehicles have strict priority, which do not exist plan optimization problems.
In addition, in the dynamic VAR planning optimization, generator rotor angle constraint as (14) needs satisfying.
Before dynamic VAR planning optimization, there are some branch faults with voltage instability problems.
Dynamic VAR planning optimization is an approach to enhance transient voltage stability.
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