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METHODS AND SYSTEMS FOR ADAPTIVE RADIOTHERAPY TREATMENT PLANNING USING DEEP LEARNING ENGINES
专利权人:
Varian Medical Systems International AG
发明人:
Hannu LAAKSONEN,Janne NORD,Sami Petri PERTTU
申请号:
US16145606
公开号:
US20200105394A1
申请日:
2018.09.28
申请国别(地区):
US
年份:
2020
代理人:
摘要:
Example methods for adaptive radiotherapy treatment planning using deep learning engines are provided. One example method may comprise obtaining treatment image data associated with a first imaging modality. The treatment image data may be acquired during a treatment phase of a patient. Also, planning image data associated with a second imaging modality may be acquired prior to the treatment phase to generate a treatment plan for the patient. The method may also comprise: in response to determination that an update of the treatment plan is required, transforming the treatment image data associated with the first imaging modality to generate transformed image data associated with the second imaging modality. The method may further comprise: processing, using the deep learning engine, the transformed image data to generate output data for updating the treatment plan.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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