z-logo
Premium
SU‐E‐T‐864: Beam Orientation Optimization Using Ant Colony Optimization in Intensity Modulated Radiation Therapy
Author(s) -
Pei X,
Cao R,
Zheng H,
Wang J,
Wu Y
Publication year - 2011
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.3612828
Subject(s) - ant colony optimization algorithms , orientation (vector space) , computer science , radiation treatment planning , dosimetry , beam (structure) , mathematical optimization , medical physics , radiation therapy , optics , algorithm , mathematics , nuclear medicine , physics , medicine , geometry
Purpose: In intensity modulated radiation therapy (IMRT) treatment planning, gantry angles are usually preselected on the basis of experience and intuition. Therefore, getting an appropriate beam configuration needs a very long time. Based on the present situation, the paper puts forward beam orientation optimization using ant colony optimization. Methods: Using ant colony optimization to select the optimal beam configurations, after getting the beam configuration using Conjugate Gradient (CG) algorithm to optimize the intensity profiles. Based on the information of the effect of pencil beam‐let, the algorithm could accelerate to find the global optimal solution. Results: In order to verify the feasibility of the presented algorithm, a simulated and clinical case was tested. Comparison of Dose‐Volume histogram and isodose line between target area and organ at risk, the results showed that the plan quality was improved after optimizing beam configurations. Conclusions: The optimization approach can make treatment planning meet clinical requirements more efficiently, so it has extensive application perspective. Supported by the National Natural Science Foundation under grant No.30900386 and the Anhui Provincial Natural Science Foundation under grant No. 090413095 and 11040606Q55.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here