Minimum-Support Solutions for Radiotherapy Planning

Computer-generated plans for radiation treatment sometimes involve an unnecessarily large number of gantry angles. Such plans are time consuming and expensive to administer because each distinct angle causes a delay while the gantry is repositioned. To address this issue, we consider an optimization...

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Veröffentlicht in:Annals of operations research Jg. 119; H. 1-4; S. 229 - 245
Hauptverfasser: Billups, Stephen C., Kennedy, Janine M.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer Nature B.V 01.03.2003
Schlagworte:
Algorithms
Automation
Chemotherapy
Linear programming
Mathematical programming
Operations research
Planning
Radiation therapy
Studies
ISSN:0254-5330, 1572-9338
Online-Zugang:Volltext
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Zusammenfassung:Computer-generated plans for radiation treatment sometimes involve an unnecessarily large number of gantry angles. Such plans are time consuming and expensive to administer because each distinct angle causes a delay while the gantry is repositioned. To address this issue, we consider an optimization model that generates minimum-support solutions to the treatment planning problem - that is, solutions involving a minimum number of gantry angles. This model is a polyhedral concave program, which is solved using a successive linearization algorithm based on work by Mangasarian. [PUBLICATION ABSTRACT]
Bibliographie:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ISSN:0254-5330
1572-9338
DOI:10.1023/A:1022946926589