TY - JOUR
T1 - Optimisation in radiotherapy. II: Programmed and inversion optimisation algorithms
AU - Ebert, M.
PY - 1997
Y1 - 1997
N2 - This is the second article in a three part examination of optimisation in radiotherapy. The previous article established the bases of optimisation in radiotherapy, and the formulation of the optimisation problem. This paper outlines several algorithms that have been used in radiotherapy, for searching for the best irradiation strategy within the full set of possible strategies. Two principle classes of algorithm are considered--those associated with mathematical programming which employ specific search techniques, linear programming-type searches or artificial intelligence--and those which seek to perform a numerical inversion of the optimisation problem, finishing with deterministic iterative inversion.
AB - This is the second article in a three part examination of optimisation in radiotherapy. The previous article established the bases of optimisation in radiotherapy, and the formulation of the optimisation problem. This paper outlines several algorithms that have been used in radiotherapy, for searching for the best irradiation strategy within the full set of possible strategies. Two principle classes of algorithm are considered--those associated with mathematical programming which employ specific search techniques, linear programming-type searches or artificial intelligence--and those which seek to perform a numerical inversion of the optimisation problem, finishing with deterministic iterative inversion.
KW - Algorithms Radiotherapy Planning, Computer-Assisted/statistics & numerical data Artificial Intelligence Biophysics Fourier Analysis Humans Programming, Linear
M3 - Article
VL - 20
SP - 220
EP - 230
JO - Australasian Physical & Engineering Sciences In Medicine
JF - Australasian Physical & Engineering Sciences In Medicine
SN - 0158-9938
IS - 4
ER -