Advanced Physics for Brachytherapy 2018

Inverse Optimisation and Planning

Objectives & Objective Functions

General

1

=

෍ =1

Θ −

−

Under-dosage (low)

1

=

෍ =1

Θ −

−

Over-dosage (high)

Optimising the values of the Objective Functions results to Optimisation of the 3D Dose Distribution .

Due to the fact that in general Objective Functions are defined as over- dosages (High-Objective) or under-dosage(s) (Low-Objective), Optimisation of an Objective Function means Minimization of its value (ideally 0) by adjusting the independent parameter values such as catheter positions, active source dwell positions and source dwell times .