A Successive Linear Programming Approach to IMRT Optimization Problem

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dc.contributor.authorMerritt, Michaelen_US
dc.contributor.authorZhang, Yinen_US
dc.contributor.authorLiu, Helenen_US
dc.contributor.authorMohan, Radheen_US
dc.date.accessioned2018-06-18T17:49:16Zen_US
dc.date.available2018-06-18T17:49:16Zen_US
dc.date.issued2002-12en_US
dc.date.noteDecember 2002en_US
dc.description.abstractWe 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.en_US
dc.format.extent23 ppen_US
dc.identifier.citationMerritt, Michael, Zhang, Yin, Liu, Helen, et al.. "A Successive Linear Programming Approach to IMRT Optimization Problem." (2002) <a href="https://hdl.handle.net/1911/101995">https://hdl.handle.net/1911/101995</a>.en_US
dc.identifier.digitalTR02-16en_US
dc.identifier.urihttps://hdl.handle.net/1911/101995en_US
dc.language.isoengen_US
dc.titleA Successive Linear Programming Approach to IMRT Optimization Problemen_US
dc.typeTechnical reporten_US
dc.type.dcmiTexten_US
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