Year: 2002
Type: report
Abstract: We propose to solve the IMRT optimization problem through a successive linear programming approach. Taking advantage of the sensitivity information in linear programming and the re-optimization ability of simplex methods, the proposed approach provides an affordable methodology to efficiently solve problems with dose-volume constraints. Preliminary computational results indicate that, compared to the standard weighted least squares approach, the new approach leads to higher tumor dosage escalation and better conformation.
Authors: Michael Merritt, Yin Zhang⋆, Helen Liu, Radhe Mohan
Language: English
Subfield: Radiation
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
Funder: University of Wisconsin-Madison
OpenAlex ID: W2947966541