Abstract
Abstract
Online adaptive radiation therapy aims at adapting a patient's treatment plan to their current anatomy to account for inter-fraction variations before daily treatment delivery. As this process needs to be accomplished while the patient is immobilized on the treatment couch, it requires time-efficient adaptive planning methods to generate a quality daily treatment plan rapidly. The conventional planning methods do not meet the time requirement of online adaptive radiation therapy because they often involve excessive human intervention, significantly prolonging the planning phase. This article reviews the planning strategies employed by current commercial online adaptive radiation therapy systems, research on online adaptive planning, and artificial intelligence’s potential application to online adaptive planning.
Funder
US National Cancer Institute
European Union’s Horizon 2020 Marie Sklodowska-Curie Actions
Subject
Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Cited by
11 articles.
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