Publications by authors named "Mu-tao Tang"

Article Synopsis
  • Genetic algorithms (GA) are effective for optimizing complex problems that might be discontinuous or highly non-linear, offering quick convergence and extensive search capabilities.
  • This thesis applies GA specifically to optimize beam weights in intensity modulated radiation therapy (IMRT) inverse planning, which is crucial for improving cancer treatment.
  • The research includes evaluations of treatment plans using 2D and 3D isodose contours and dose volume histograms (DVH), along with discussions of the results achieved.
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Unlabelled: To study the method for dose calculation and beam weight optimization of intensity-modulated radiation therapy (IMRT).

Methods: The IMRT dose calculation model based on two-dimensional convolution was constructed, the program of dose calculation and beam weight optimization with genetic algorithm was written with Visual c#.Net, and the optimization results were analyzed.

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Objective: To develop a new method for static intensity-modulated radiation therapy (IMRT) possible for implementation in smaller hospitals by incorporating accurate location equipments and treatment planning system in the available equipments for general radiotherapy.

Methods: Based on the techniques of conformal radiotherapy, a new split method for fabricating the three-dimensional physical compensator was developed to achieve IMRT.

Results: Experiment with the new method showed that the fabricated compensator could achieve good match between the high dosage shape in the target area and the dimensions of the tumor, and allowed adjustment of the dosage distribution according to the therapeutic requirement.

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