A Successive Linear Programming Approach to IMRT Optimization Problem

Simple item page
dc.contributor.authorMerritt, Michael
dc.contributor.authorZhang, Yin
dc.contributor.authorLiu, Helen
dc.contributor.authorMohan, Radhe
dc.date.accessioned2018-06-18T17:49:16Z
dc.date.available2018-06-18T17:49:16Z
dc.date.issued2002-12
dc.date.noteDecember 2002
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.
dc.format.extent23 pp
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>.
dc.identifier.digitalTR02-16
dc.identifier.urihttps://hdl.handle.net/1911/101995
dc.language.isoeng
dc.titleA Successive Linear Programming Approach to IMRT Optimization Problem
dc.typeTechnical report
dc.type.dcmiText
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
TR02-16.pdf
Size:
352.59 KB
Format:
Adobe Portable Document Format
Download
Collections
CAAM Technical Reports