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Clinical helical tomotherapy commissioning dosimetry
Author(s) -
Balog John,
Olivera Gustavo,
Kapatoes Jeff
Publication year - 2003
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.1625444
Subject(s) - tomotherapy , dosimetry , superposition principle , medical physics , convolution (computer science) , medical imaging , fluence , optics , nuclear medicine , physics , computer science , radiation therapy , medicine , radiology , artificial intelligence , laser , quantum mechanics , artificial neural network
Helical tomotherapy presented many unique dosimetric challenges and solutions during the initial commissioning process, and some of them are presented. The dose calculation algorithm is convolution/superposition based. This requires that the energy fluence spectrum and magnitude be quantified. The methodology for doing so is described. Aspects of the energy fluence characterization that are unique to tomotherapy are highlighted. Many beam characteristics can be measured automatically by an included megavoltage computed tomography imaging system. This greatly improves data collection efficiency.