IMRT Course 2016

The minimum sits in a flat-pan

valley, the search direction is

well defined in few (ca. 100),

but vague in most dimensions

(ca. 10000),

a multiplicity of optimum

solutions exists.

Fluence profile optimization (No MLC)

ESTRO IMRT course 2016

IMRT optimization: algorithms&cost functions

London April 4th, 2016

-17-

Problems for the optimization algorithm:

convergence

in end game is very

slow –

terminate long before convergence

same

solution

may

not be reached

twice, although the cost functions

have identical values

no local minima, but still difficulties to find the optimum!