Whitepaper on RadCalc’s 3D Monte Carlo and 3D Collapse Cone algorithms

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. Update: Now with the release of version 7.4.1.0 in February of 2024, an addendum has been added describing the evolutions of the new fast Monte Carlo algorithm from our original BEAMnrc Monte Carlo implementation.

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 any of the Collapsed Cone Superposition Convolution, BEAMnrc Monte Carlo and fast Monte Carlo algorithms.