Abstract:
: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.
journal_name
Phys Med Bioljournal_title
Physics in medicine and biologyauthors
Schreibmann E,Lahanas M,Xing L,Baltas Ddoi
10.1088/0031-9155/49/5/007subject
Has Abstractpub_date
2004-03-07 00:00:00pages
747-70issue
5eissn
0031-9155issn
1361-6560journal_volume
49pub_type
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