Home > Research > Publications & Outputs > Operations research methods for optimization in...


Text available via DOI:

View graph of relations

Operations research methods for optimization in radiation oncology

Research output: Contribution to journalJournal articlepeer-review

<mark>Journal publication date</mark>2014
<mark>Journal</mark>Journal of Radiation Oncology Informatics
Issue number1
Number of pages41
Pages (from-to)1-41
Publication StatusPublished
<mark>Original language</mark>English


Operations Research has a successful tradition of applying mathematical analysis to a wide range of applications, and problems in Medical Physics have been popular over the last couple of decades. The original application was in the optimal design of the fluence map for a radiotherapy treatment, a problem that has continued to receive attention. However, Operations Research has been applied to other clinical problems like patient scheduling, vault design, and image alignment. The overriding theme of this article is to present how techniques in Operations Research apply to clinical problems, which we accomplish in three parts. First, we present the perspective from which an operations researcher addresses a clinical problem. Second, we succinctly introduce the underlying methods that are used to optimize a system, and third, we demonstrate how modern
software facilitates problem design. Our discussion is supported by several publications to foster continued study. With numerous clinical, medical, and managerial decisions associated with a clinic, operations research has a promising future at improving how radiotherapy treatments are designed and delivered.