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タイトル: Layout Optimization of the Beam Spot Locations Scanned by Electromagnets in Particle Beam Therapy
著者: SAKAMOTO, Yusuke
NAGASHIMA, Takayuki
SATO, Yuki
IZUI, Kazuhiro  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-8875-7758 (unconfirmed)
NISHIWAKI, Shinji  kyouindb  KAKEN_id
著者名の別形: 坂本, 裕介
長島, 嵩幸
佐藤, 勇気
泉井, 一浩
西脇, 眞二
キーワード: Layout optimization
Heuristic approach
Three-dimensional locations
Scanning magnet
Particle beam therapy
発行日: 2022
出版者: Japan Society of Mechanical Engineers
誌名: Mechanical Engineering Journal
巻: 9
号: 5
論文番号: 22-00140
抄録: This paper presents a layout optimization method of the spot locations of pencil beam scanning for particle beam cancer therapy. With the pencil beam scanning technique, the particle beam is scanned from spot to spot in the tumor by using scanning magnets. To provide clinically ideal dose distributions and less-invasive treatment to the patients, both the spot locations and the number of particles given to each spot should be optimized. However, the spot layout is fixed with a lattice pattern in many prior studies. We propose the optimization method to derive the non-lattice spot layout to realize an acceptable dose distribution with a reduced number of spots. With the proposed method, a large enough number of spots were located densely at the initial state, and then the spots with the smallest contribution were removed one by one through iterations. The number of particles given to each spot was determined by solving a quadratic problem. Furthermore, we also propose the idea to accelerate the optimization process by simultaneously removing multiple spots. The algorithm was confirmed by numerical examples of both two-dimensional and three-dimensional cases. The dose quality with the optimized spot layout was better than that with the conventional lattice spot patterns, with all tested cases. In the optimized spot layout, the spots were located on the closed lines which were concentric to the target contour. We also confirmed the proposed method of multiple-remotion can accelerate the optimization process without violating the dose quality.
著作権等: © 2022 The Japan Society of Mechanical Engineers
This article is licensed under a Creative Commons [Attribution-NonCommercial-NoDerivatives 4.0 International] license.
URI: http://hdl.handle.net/2433/284481
DOI(出版社版): 10.1299/mej.22-00140
出現コレクション:学術雑誌掲載論文等

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