A novel methodology for the optimization of transmission and dosimetric leaf gap parameters.

ABSTRACT:

Purpose

Optimization of dosimetric leaf gap (DLG) and transmission is commonly performed through a manual trial and error process, which can lead to sub-optimal values. The purpose of this work is to create an alternative automated optimization process that provides the optimal DLG and transmission pair for use in a clinical setting.

Methods

Utilizing the treatment planning system application programming interface, a phase space of clinically viable DLG and transmission pairs was generated. The phase space contained 51,051 dose planes for DLGs between 0.0  and 2.5 mm and transmission values between 0.01% and 2.5%. Thirteen plans were measured for multiple multileaf collimator types and nominal beam energies. The optimization minimized the mean γ-index and maximized the γ-ind

SUBMITTER: DiCostanzo DJ 

PROVIDER: S-EPMC9121040 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature