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On the role of modeling parameters in IMRT plan optimization

โœ Scribed by Krause, Michael; Scherrer, Alexander; Thieke, Christian


Book ID
125437188
Publisher
Institute of Physics
Year
2008
Tongue
English
Weight
266 KB
Volume
53
Category
Article
ISSN
0031-9155

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โœ S.P. Bingulac ๐Ÿ“‚ Article ๐Ÿ“… 1969 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 332 KB

This paper compares the application of the two algorithms, the classical gradient and the Gauss-Newton, for parameter optimization, and it investigates the influence of the form of sensitivity functions on the convergency of these algorithms. It is shown that the cases where the classical gradient a