Fuzzy logic guided inverse treatment planning.

Journal Article (Journal Article)

A fuzzy logic technique was applied to optimize the weighting factors in the objective function of an inverse treatment planning system for intensity-modulated radiation therapy (IMRT). Based on this technique, the optimization of weighting factors is guided by the fuzzy rules while the intensity spectrum is optimized by a fast-monotonic-descent method. The resultant fuzzy logic guided inverse planning system is capable of finding the optimal combination of weighting factors for different anatomical structures involved in treatment planning. This system was tested using one simulated (but clinically relevant) case and one clinical case. The results indicate that the optimal balance between the target dose and the critical organ dose is achieved by a refined combination of weighting factors. With the help of fuzzy inference, the efficiency and effectiveness of inverse planning for IMRT are substantially improved.

Full Text

Duke Authors

Cited Authors

  • Yan, H; Yin, F-F; Guan, H; Kim, JH

Published Date

  • October 1, 2003

Published In

Volume / Issue

  • 30 / 10

Start / End Page

  • 2675 - 2685

PubMed ID

  • 14596304

International Standard Serial Number (ISSN)

  • 0094-2405

Digital Object Identifier (DOI)

  • 10.1118/1.1600739


  • eng

Conference Location

  • United States