| Autor: |
Schreibmann E; Department of Medical Physics and Engineering, Strahlenklinik, Klinikum Offenbach, 63069 Offenbach, Germany. eschreibmann@yahoo.com, Lahanas M, Xing L, Baltas D |
| Jazyk: |
angličtina |
| Zdroj: |
Physics in medicine and biology [Phys Med Biol] 2004 Mar 07; Vol. 49 (5), pp. 747-70. |
| DOI: |
10.1088/0031-9155/49/5/007 |
| Abstrakt: |
We propose a hybrid multiobjective (MO) evolutionary optimization algorithm (MOEA) for intensity-modulated radiotherapy inverse planning and apply it to optimize the number of incident beams, their orientations and intensity profiles. The algorithm produces a set of efficient solutions, which represent different clinical trade-offs and contains information such as variety of dose distributions and dose-volume histograms. No importance factors are required and solutions can be obtained in regions not accessible by conventional weighted sum approaches. The application of the algorithm using a test case, a prostate and a head and neck tumour case is shown. The results are compared with MO inverse planning using a gradient-based optimization algorithm. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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