Literature DB >> 1946603

Optimization by simulated annealing of three-dimensional conformal treatment planning for radiation fields defined by a multileaf collimator.

S Webb1.   

Abstract

Three-dimensional conformal radiotherapy may be achieved by using a combination of geometrically shaped radiation fields from different orientations around the patient. A convenient method to shape the fields is to use a multileaf collimator. These fields are shaped to the beam's-eye-view of the target volume, at each orientation of the collimator, and may also encompass sensitive structure, i.e. organs at risk, if the target region has concavities in its outline within which such structure may reside. The term 'conformal therapy' is used in this paper to mean tailoring the high dose volume to the target volume whilst minimising dose to other normal structures (organs at risk) which may be irradiated by the treatment fields, shaped by a multileaf collimator. The question then arises of the optimum distribution of beam weights to apply to the fields to minimise dose to organs at risk whilst aiming towards a uniform dose distribution in the target volume. This paper provides a method of optimizing the choice of beamweights to achieve this. The method is based on the well known optimization technique of simulated annealing. Either an optimal set of beamweights, one weight per field, is generated or the intensity may be spatially modulated across the field at each orientation (two weights per field) depending on whether there is just target volume or both target volume and volume containing organs at risk in the line of sight. It is shown that the dose matrix resulting from the latter optimization is closer to the dose prescription than that obtained by using either an optimal set of single weights per field or uniform beamweights.

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Year:  1991        PMID: 1946603     DOI: 10.1088/0031-9155/36/9/004

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  15 in total

1.  Toward truly optimal IMRT dose distribution: inverse planning with voxel-specific penalty.

Authors:  Pavel Lougovski; Jordan LeNoach; Lei Zhu; Yunzhi Ma; Yair Censor; Lei Xing
Journal:  Technol Cancer Res Treat       Date:  2010-12

2.  Inverse radiotherapy planning for a concave-convex PTV in cervical and upper mediastinal regions. Simulation of radiotherapy using an Alderson-RANDO phantom. Planning target volume.

Authors:  O Esik; T Bortfeld; R Bendl; G Németh; W Schlegel
Journal:  Strahlenther Onkol       Date:  1997-04       Impact factor: 3.621

3.  Automated prediction of dosimetric eligibility of patients with prostate cancer undergoing intensity-modulated radiation therapy using a convolutional neural network.

Authors:  Tomohiro Kajikawa; Noriyuki Kadoya; Kengo Ito; Yoshiki Takayama; Takahito Chiba; Seiji Tomori; Ken Takeda; Keiichi Jingu
Journal:  Radiol Phys Technol       Date:  2018-08-14

Review 4.  Global radiation oncology waybill.

Authors:  Victor Muñoz-Garzón; Angeles Rovirosa; Alfredo Ramos
Journal:  Rep Pract Oncol Radiother       Date:  2013-10-30

5.  Intelligent inverse treatment planning via deep reinforcement learning, a proof-of-principle study in high dose-rate brachytherapy for cervical cancer.

Authors:  Chenyang Shen; Yesenia Gonzalez; Peter Klages; Nan Qin; Hyunuk Jung; Liyuan Chen; Dan Nguyen; Steve B Jiang; Xun Jia
Journal:  Phys Med Biol       Date:  2019-05-29       Impact factor: 3.609

6.  Inverse 4D conformal planning for lung SBRT using particle swarm optimization.

Authors:  A Modiri; X Gu; A Hagan; R Bland; P Iyengar; R Timmerman; A Sawant
Journal:  Phys Med Biol       Date:  2016-08-01       Impact factor: 3.609

7.  Three-dimensional patient setup errors at different treatment sites measured by the Tomotherapy megavoltage CT.

Authors:  S K Hui; E Lusczek; T DeFor; K Dusenbery; S Levitt
Journal:  Strahlenther Onkol       Date:  2012-03-09       Impact factor: 3.621

8.  [Which factors modify the reproducibility of patient positioning in the daily irradiation routine?].

Authors:  C Thilmann; I A Adamietz; S Mose; F Saran; A Buchner; H D Böttcher
Journal:  Strahlenther Onkol       Date:  1997-08       Impact factor: 3.621

9.  Task-based image quality assessment in radiation therapy: initial characterization and demonstration with computer-simulation study.

Authors:  Steven R Dolly; Yang Lou; Mark A Anastasio; Hua Li
Journal:  Phys Med Biol       Date:  2019-07-18       Impact factor: 3.609

10.  Performance evaluation of an algorithm for fast optimization of beam weights in anatomy-based intensity modulated radiotherapy.

Authors:  Vaitheeswaran Ranganathan; V K Sathiya Narayanan; Janhavi R Bhangle; Kamlesh K Gupta; Sumit Basu; Vikram Maiya; Jolly Joseph; Amit Nirhali
Journal:  J Med Phys       Date:  2010-04
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