iCycle: Integrated, multicriterial beam angle, and profile optimization for generation of coplanar and noncoplanar IMRT plans

Breedveld, S.; Storchi, P.; Voet, P.; Heijmen, B.

doi:10.1118/1.3676689

Cited by 270 publications

(322 citation statements)

References 31 publications

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“…Iterative BAO is a successful strategy used in practice [6]. Furthermore, this strategy would obtain a theoretical upper limit of the treatment plan quality [19].…”

Section: Computational Resultsmentioning

confidence: 99%

“…Many different mathematical models and optimization procedures have been presented for the FMO problem, including linear models [18], nonlinear models [7], a priori multicriteria models [6], a posteriori multicriteria models [13], particle swarm optimization models [20] and fuzzy inference systems models [11]. Here, we use the following convex penalty function voxel-based nonlinear model [1]:…”

Section: Mathematical Formulation Of the Bao Problemmentioning

confidence: 99%

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Comparison of Combinatorial and Continuous Frameworks for the Beam Angle Optimization Problem in IMRT

Rocha

Dias

Ventura

et al. 2018

Computational Science and Its Applications – ICCSA 2018

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Abstract. Radiation therapy (RT) is used nowadays for the majority of cancer patients. A technologically advanced type of RT is IMRTintensity-modulated radiation therapy. With this RT modality the cancerous cells of the patient can be irradiated using non-uniform radiation maps delivered from different beam directions. Although non-uniform radiation maps allow, by themselves, an enhanced sparing of the neighboring healthy organs while properly irradiating the tumor with the prescribed dose, selection of appropriate irradiation directions play a decisive role on these conflicting tasks: deliver dose to the tumor while preventing (too much) dose to be deposited in the surrounding tissues. This paper focus on the problem of choosing the best set of irradiation directions, known as beam angle optimization (BAO) problem. Two completely different mathematical formulations of this problem can be found in the literature. A combinatorial formulation, widely used and addressed by many different algorithms and strategies, and a continuous formulation proposed by the authors and addressed by derivative-free algorithms. In this paper, a comparison of two of the most successful strategies to address each one of these formulations is done resorting to a set of ten clinical nasopharyngeal tumor cases already treated at the Portuguese Institute of Oncology of Coimbra.

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“…Iterative BAO is a successful strategy used in practice [6]. Furthermore, this strategy would obtain a theoretical upper limit of the treatment plan quality [19].…”

Section: Computational Resultsmentioning

confidence: 99%

Section: Mathematical Formulation Of the Bao Problemmentioning

confidence: 99%

Comparison of Combinatorial and Continuous Frameworks for the Beam Angle Optimization Problem in IMRT

Rocha

Dias

Ventura

et al. 2018

Computational Science and Its Applications – ICCSA 2018

View full text Add to dashboard Cite

show abstract

“…This option is not suitable to include in a fully automated BAO process. Recently, a multicriteria optimization approach has been developed, where a set of a priori defined criteria have to be met (objectives and constraints) [8,9,10]. This approach is suited for an automated BAO process.…”

Section: Fmo Formulation and Resolutionmentioning

confidence: 99%

“…This approach is suited for an automated BAO process. In this work, a multicriterial optimization based on a prescription called wish-list [8,9,10] is our choice to address the FMO problem. The wish-list contains hard constraints and prioritized objectives.…”

Section: Fmo Formulation and Resolutionmentioning

confidence: 99%

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Noncoplanar beam angle optimization in IMRT treatment planning using pattern search methods

Rocha

Dias

Ferreira

et al. 2015

J. Phys.: Conf. Ser.

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Sliding Window Imrt and Vmat Optimization

Craft

Halabi

2018

Decision Analytics and Optimization in Disease Prevention and Treatment

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iCycle: Integrated, multicriterial beam angle, and profile optimization for generation of coplanar and noncoplanar IMRT plans

Abstract: Integrated beam angle and profile optimization with iCycle may result in significant improvements in treatment plan quality. Due to automation, the plan generation workload is minimal. Clinical application has started.

Cited by 270 publications

References 31 publications

Comparison of Combinatorial and Continuous Frameworks for the Beam Angle Optimization Problem in IMRT

Comparison of Combinatorial and Continuous Frameworks for the Beam Angle Optimization Problem in IMRT

Noncoplanar beam angle optimization in IMRT treatment planning using pattern search methods

Sliding Window Imrt and Vmat Optimization

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