Prediction of VMAT delivery accuracy with textural features calculated from fluence maps.
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ABSTRACT:
SUBMITTER: Park JM
PROVIDER: S-EPMC6929348 | biostudies-literature | 2019 Dec
REPOSITORIES: biostudies-literature
Publications
Prediction of VMAT delivery accuracy with textural features calculated from fluence maps.
Park Jong Min JM Kim Jung-In JI Park So-Yeon SY
Radiation oncology (London, England) 20191223 1
<h4>Background</h4>Comprehensively textural feature performance test from volumetric modulated arc therapy (VMAT) fluences to predict plan delivery accuracy.<h4>Methods</h4>A total of 240 VMAT plans for various treatment sites were analyzed, with Trilogy and TrueBeam STx systems. Fluence maps superposed fluences at each control point per plan. The textural features were the angular second moment (ASM), inverse difference moment (IDM), contrast, variance, correlation, and entropy, calculated from ...[more]
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