Development of high precision 3D radiation treatment planning system based on similar cases
Project/Area Number |
22611011
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Medical Physics/Radiological Technology
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Research Institution | Kyushu University |
Principal Investigator |
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Co-Investigator(Kenkyū-buntansha) |
中村 和正 九州大学, 大学病院, 准教授 (20284507)
塩山 善之 九州大学, 医学(系)研究科(研究院), 教授 (10323304)
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Co-Investigator(Renkei-kenkyūsha) |
塩山 善之 九州大学, 医学研究院, 教授 (10323304)
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Project Period (FY) |
2010 – 2012
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Project Status |
Completed (Fiscal Year 2012)
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Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2012: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2011: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2010: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
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Keywords | 治療計画 / 類似症例検索 / 画像処理 / 放射線治療 / 類似症例 / 放射線治療計画 / 画像特徴量 / 高精度放射線治療 / 計画症例自動検索 / 医用画像処理 / 自動画像検索 |
Research Abstract |
The purpose of this study was to develop a computer-aided method for determination of beam arrangements based on similar cases in a radiotherapy treatment-planning database for stereotactic lung radiation therapy. First, the five most similar cases were searched, based on geometrical features related to the location, size and shape of the planning target volume, lung and spinal cord. Second, five beam arrangements of an objective case were automatically determined by registering five similar cases with the objective case, with respect to lung regions, by means of a linear registration technique. The most usable beam arrangement was selected by sorting the five treatment plans based on eight plan evaluation indices, including the D95, mean lung dose and spinal cord maximum dose. We applied the proposed method to 10 test cases, by using an RTPdatabase of 81 cases with lung cancer, and compared the eight plan evaluation indices between the original treatment plan and the corresponding most usable similar-case-based treatment plan. As a result, the proposed method may provide usable beam arrangements, which have no statistically significant differences from the original beam arrangements (P > 0.05) in terms of the eight plan evaluation indices. Therefore, the proposed method could be employed as an educational tool for less experienced treatment planners.
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Report
(4 results)
Research Products
(53 results)
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[Journal Article] 豊福不可依,放射線治療におけるelectronic portal imaging device を用いた4次元線量分布推定法の開発2013
Author(s)
溝口明日実, 有村秀孝, 塩山善之, 廣瀬貴章, 穴井重男, 本田浩, 梅津芳幸, 平田秀紀, 大喜雅文, 中村和正
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Journal Title
電子情報通信学会 医用画像特集
Volume: Vol.J96-D,No.4
Pages: 813-823
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Peer Reviewed
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[Journal Article] Computerized estimation of patient setup errors in portal images based on localized pelvic templates for prostate cancer radiotherapy2012
Author(s)
Arimura H, Itano W, Shioyama Y, Matsushita N, Magome T, Yoshitake T, Anai S, Nakamura K, Yo s hid o me S, Yamagami A, Honda H, Ohki M, Toyofuku F, Hirata H.
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Journal Title
Journal of Radiation Research
Volume: 53(6)
Pages: 961-72
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Peer Reviewed
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[Journal Article] Esophageal Stenosis Associated with Tumor Regression in Radiation Therapy for Esophageal Cancer:Frequency and Prediction2012
Author(s)
Atsumi K, Shioyama Y, Arimura H, Terashima K, Matsuki T, Ohga S, Yoshitake T, Nonoshita T, Tsurumaru D, Ohnishi K, Asai K, Matsumoto K, Nakamura K, Honda H.
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Journal Title
International Journal of Radiation Oncology, Biology, Physics
Volume: 82(5)
Pages: 1973-80
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Peer Reviewed
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[Journal Article] 肺定位放射線治療におけるEPIDシネ画像を用いた腫瘍位置のずれ量自動推定方法の開発2011
Author(s)
吉留 郷志, 有村 秀孝, 塩山 善之, 中村和正, 穴井重男, 中村浩太, 野元諭, 本田 浩, 豊福不可依, 寺嶋廣美, 平田秀紀
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Journal Title
医学物理
Volume: Vol.30, No.3
Pages: 120-131
NAID
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Peer Reviewed
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[Presentation] Computer-assisted determination of the usable beam arrangement from similar treatment plans in stereotactic body radiotherapy (p.101-107),Workshop of Image-Guidance and Multimodal Dose Planning in Radiation Therapy2012
Author(s)
Magome T, Arimura H, Shioyama Y, Mizoguchi A, Tokunaga C, Nakamura K, Nakamura Y, Honda H, Ohki, Toyofuku F, Hirata H.
Organizer
MICCAI 2012
Place of Presentation
Nice
Year and Date
2012-10-05
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[Book] Springer2013
Author(s)
Arimura H, Magome T, et al.
Total Pages
30
Publisher
Computational Intelligent Image Analysis for Assisting Radiation Oncologists’ Decision Making in Radiation Treatment Planning
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