Solving Beam-Angle Selection and Dose Optimization Simultaneously via High-Throughput Computing

Authors:
Hao Howard Zhang;Leyuan Shi;Robert Meyer;Daryl Nazareth;Warren D'Souza
Affiliations:
Department of Industrial and Systems Engineering, University of Wisconsin--Madison, Madison, Wisconsin 53706;Department of Industrial and Systems Engineering, University of Wisconsin--Madison, Madison, Wisconsin 53706;Department of Computer Sciences, University of Wisconsin--Madison, Madison, Wisconsin 53706;Department of Radiation Oncology, University of Maryland at Baltimore, Baltimore, Maryland 21201;Department of Radiation Oncology, University of Maryland at Baltimore, Baltimore, Maryland 21201
Venue:
INFORMS Journal on Computing
Year:
2009

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Abstract

We provide a framework for integrating two stages of radiation treatment planning (RTP): beam-angle selection (BAS) and dose optimization (DO). The framework is applied to both classical three-dimensional conformal radiotherapy and advanced intensity-modulated radiation therapy. Automated BAS and improved dose distribution are achieved within the framework. A metaheuristic approach, nested partitions, is applied. Alternative BAS and DO algorithms or commercial RTP software and clinical experience can be embedded within the framework to provide new methods for warm starts and evaluations of the quality of beam-angle set samples. Computational efficiency is achieved by utilizing high-throughput computing via the Condor system. Computational results show that our framework has led to a significant improvement in terms of solution quality and delivery time compared with current clinical practice.