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Analyzing the main trade-offs in multiobjective radiation therapy treatment planning databases.

Authors
  • Spalke, Tobias
  • Craft, David
  • Bortfeld, Thomas
Type
Published Article
Journal
Physics in medicine and biology
Publication Date
Jun 21, 2009
Volume
54
Issue
12
Pages
3741–3754
Identifiers
DOI: 10.1088/0031-9155/54/12/009
PMID: 19478382
Source
Medline
License
Unknown

Abstract

Multiobjective radiotherapy planning aims to capture all clinically relevant trade-offs between the various planning goals. This is accomplished by calculating a representative set of Pareto optimal solutions and storing them in a database. The structure of these representative Pareto sets is still not fully investigated. We propose two methods for a systematic analysis of multiobjective databases: principal component analysis and the isomap method. Both methods are able to extract the key trade-offs from a database and provide information which can lead to a better understanding of the clinical case and intensity-modulated radiation therapy planning in general.

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