Analyzing the main trade-offs in multiobjective radiation therapy treatment planning databases.
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.
Spalke
Tobias
T
Department of Medical Physics in Radiation Oncology, DKFZ Heidelberg, Germany. t.spalke@dkfz-heidelberg.de
Craft
David
D
Bortfeld
Thomas
T
D003628:Database Management Systems; D016208:Databases, Factual; D011874:Radiometry / Q000379:methods*; D011879:Radiotherapy Dosage; D011880:Radiotherapy Planning, Computer-Assisted / Q000379:methods*; D020266:Radiotherapy, Conformal / Q000379:methods*