Whitepaper on RadCalc’s 3D Monte Carlo and 3D Collapse Cone algorithms
This whitepaper explores RadCalc’s 3D dose algorithms. Extensive clinical evaluations were performed to validate RadCalc’s new 3D modules’ increasing the commitment to accuracy and reliability.
This whitepaper explores RadCalc’s 3D dose algorithms. The 3D Collapsed Cone module was first introduced in version 7.0 released in beta in Aug of 2019, with clinical release in November. The 3D Monte Carlo module was released in version 7.1, with the beta release happening in September of 2019 and clinical release in January of 2020.
Extensive clinical evaluations were performed to validate RadCalc’s new 3D modules’ increasing the commitment to accuracy and reliability.
RadCalc’s 3D modules provides confidence and reliability for all field sizes in a single model with both the Collapsed Cone Superposition Convolution and BEAMnrc Monte Carlo.