title: Intelligence-guided beam angle optimization in treatment planning of intensity-modulated radiation therapy.
abstract: An intelligence guided approach based on fuzzy inference system (FIS) was proposed to automate beam angle optimization in treatment planning of intensity-modulated radiation therapy (IMRT). The model of FIS is built on inference rules in describing the relationship between dose quality of IMRT plan and irradiated region of anatomical structure. Dose quality of IMRT plan is quantified by the difference between calculated and constraint doses of the anatomical structures in an IMRT plan. Irradiated region of anatomical structure is characterized by the metric, covered region of interest, which is the region of an anatomical structure under radiation field while beam's eye-view is conform to target volume. Initially, an IMRT plan is created with a single beam. The dose difference is calculated for the input of FIS and the output of FIS is obtained with processing of fuzzy inference. Later, a set of candidate beams is generated for replacing the current beam. This process continues until no candidate beams is found. Then the next beam is added to the IMRT plan and optimized in the same way as the previous beam. The new beam keeps adding to the IMRT plan until the allowed beam number is reached. Two spinal cases were investigated in this study. The preliminary results show that dose quality of IMRT plans achieved by this approach is better than those achieved by the default approach with equally spaced beam setting. It is effective to find the optimal beam combination of IMRT plan with the intelligence-guided approach.
authors.affiliation: Department of Radiation Oncology, Cancer Hospital Chinese Academy of Medical Sciences, PO Box 2258, Beijing 100021, China. Electronic address: hui.yan@cicams.ac.cn.
authors.forename: Hui
authors.initials: H
authors.lastname: Yan
authors.affiliation: Department of Radiation Oncology, Cancer Hospital Chinese Academy of Medical Sciences, PO Box 2258, Beijing 100021, China.
authors.forename: Jian-Rong
authors.initials: JR
authors.lastname: Dai
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D055592:Biophysical Phenomena; D017143:Fuzzy Logic; D006801:Humans; D019047:Phantoms, Imaging; D011879:Radiotherapy Dosage; D011880:Radiotherapy Planning, Computer-Assisted / Q000706:statistics & numerical data*; D050397:Radiotherapy, Intensity-Modulated / Q000706:statistics & numerical data*
keywords: Beam angle optimization; Fuzzy inference system; Intensity-modulated radiation therapy