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A unified approach for inversion problems in intensity-modulated radiation therapy

Physics in Medicine and Biology · 2006 · Vol. 51(10) · pp. 2353–2365
Yair CensorThomas BortfeldBenjamín MartínAlexei Trofimov

Abstract

We propose and study a unified model for handling dose constraints (physical dose, equivalent uniform dose (EUD), etc) and radiation source constraints in a single mathematical framework based on the split feasibility problem. The model does not impose on the constraints an exogenous objective (merit) function. The optimization algorithm minimizes a weighted proximity function that measures the sum of the squares of the distances to the constraint sets. This guarantees convergence to a feasible solution point if the split feasibility problem is consistent (i.e., has a solution), or, otherwise, convergence to a solution that minimally violates the physical dose constraints and EUD constraints. We present computational results that demonstrate the validity of the model and the power of the proposed algorithmic scheme.

Advanced Radiotherapy TechniquesMedical Imaging Techniques and ApplicationsRadiation Dose and ImagingMathematical optimizationConvergence (economics)Constraint (computer-aided design)Computer scienceInversion (geology)Function (biology)AlgorithmPoint (geometry)MathematicsApplied mathematics

MeSH terms

AlgorithmsBody BurdenComputer SimulationModels, BiologicalRadiometryRadiotherapy DosageRadiotherapy Planning, Computer-AssistedRelative Biological EffectivenessSystems IntegrationRadiotherapy, Conformal

Funding

  • Massachusetts General Hospital
Citations
813
FWCI
8.11
field-weighted impact
References
31
Percentile
98%
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Citations per year
References
Parallel optimization: Theory, algorithms, and applications
Computers & Mathematics with Applications · 1998 · 826 citations
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