Literature DB >> 9304574

An active set algorithm for treatment planning optimization.

D H Hristov1, B G Fallone.   

Abstract

An active set algorithm for optimization of radiation therapy dose planning by intensity modulated beams has been developed. The algorithm employs a conjugate-gradient routine for subspace minimization in order to achieve a higher rate of convergence than the widely used constrained steepest-descent method at the expense of a negligible amount of overhead calculations. The performance of the new algorithm has been compared to that of the constrained steepest-descent method for various treatment geometries and two different objectives. The active set algorithm is found to be superior to the constrained steepest descent, both in terms of its convergence properties and the residual value of the cost functions at termination. Its use can significantly accelerate the design of conformal plans with intensity modulated beams by decreasing the number of time-consuming dose calculations.

Mesh:

Year:  1997        PMID: 9304574     DOI: 10.1118/1.598034

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  2 in total

1.  Towards more optimal medical diagnosing with evolutionary algorithms.

Authors:  V Podgorelec; P Kokol
Journal:  J Med Syst       Date:  2001-06       Impact factor: 4.460

Review 2.  Mathematical formulation of energy minimization - based inverse optimization.

Authors:  Ivaylo B Mihaylov
Journal:  Front Oncol       Date:  2014-07-18       Impact factor: 6.244

  2 in total

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