Performance evaluation of an algorithm for fast optimization of beam weights in anatomy-based intensity modulated radiotherapy

Ranganathan, Vaitheeswaran; Narayanan, VK Sathiya; Bhangle, Janhavi; Gupta, Kamlesh Kumar; Basu, Sumit; Maiya, Vikram; Joseph, Jolly; Nirhali, Amit

doi:10.4103/0971-6203.62203

Cited by 2 publications

(3 citation statements)

References 19 publications

(21 reference statements)

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“…More details on how the anatomy-based fields are generated can be seen in our recent publication. [ 13 ] Figure 1 shows an example of a set of anatomy-based MLC fields for a particular beam angle.…”

Section: Methodsmentioning

confidence: 99%

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A hybrid algorithm for instant optimization of beam weights in anatomy-based intensity modulated radiotherapy: A performance evaluation study

Vaitheeswaran¹,

Narayanan

Bhangle

et al. 2011

J Med Phys

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The study aims to introduce a hybrid optimization algorithm for anatomy-based intensity modulated radiotherapy (AB-IMRT). Our proposal is that by integrating an exact optimization algorithm with a heuristic optimization algorithm, the advantages of both the algorithms can be combined, which will lead to an efficient global optimizer solving the problem at a very fast rate. Our hybrid approach combines Gaussian elimination algorithm (exact optimizer) with fast simulated annealing algorithm (a heuristic global optimizer) for the optimization of beam weights in AB-IMRT. The algorithm has been implemented using MATLAB software. The optimization efficiency of the hybrid algorithm is clarified by (i) analysis of the numerical characteristics of the algorithm and (ii) analysis of the clinical capabilities of the algorithm. The numerical and clinical characteristics of the hybrid algorithm are compared with Gaussian elimination method (GEM) and fast simulated annealing (FSA). The numerical characteristics include convergence, consistency, number of iterations and overall optimization speed, which were analyzed for the respective cases of 8 patients. The clinical capabilities of the hybrid algorithm are demonstrated in cases of (a) prostate and (b) brain. The analyses reveal that (i) the convergence speed of the hybrid algorithm is approximately three times higher than that of FSA algorithm; (ii) the convergence (percentage reduction in the cost function) in hybrid algorithm is about 20% improved as compared to that in GEM algorithm; (iii) the hybrid algorithm is capable of producing relatively better treatment plans in terms of Conformity Index (CI) [~ 2% - 5% improvement] and Homogeneity Index (HI) [~ 4% - 10% improvement] as compared to GEM and FSA algorithms; (iv) the sparing of organs at risk in hybrid algorithm-based plans is better than that in GEM-based plans and comparable to that in FSA-based plans; and (v) the beam weights resulting from the hybrid algorithm are about 20% smoother than those obtained in GEM and FSA algorithms. In summary, the study demonstrates that hybrid algorithms can be effectively used for fast optimization of beam weights in AB-IMRT.

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Section: Methodsmentioning

confidence: 99%

“…[ 14 – 17 ] Recently, the use of Gaussian elimination algorithm for optimizing beam weights in AB-IMRT has been demonstrated. [ 13 ] In our sequential optimization approach, the initial approximate solutions (beam weights) are obtained using GEM. These initial solutions are, in turn, fed into FSA algorithm for further optimization.…”

Section: Methodsmentioning

confidence: 99%

A hybrid algorithm for instant optimization of beam weights in anatomy-based intensity modulated radiotherapy: A performance evaluation study

Vaitheeswaran¹,

Narayanan

Bhangle

et al. 2011

J Med Phys

Self Cite

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show abstract

“…[16][17][18] These approaches are collectively regarded as "Anatomy-based Inverse Planning (ABIP)". In fact, the direct aperture optimization techniques in the current form of are some kind of variants of the ABIP technique.…”

Section: It Is Evident Frommentioning

confidence: 99%

Performance evaluation of an algorithm for fast optimization of beam weights in anatomy-based intensity modulated radiotherapy

Cited by 2 publications

References 19 publications

A hybrid algorithm for instant optimization of beam weights in anatomy-based intensity modulated radiotherapy: A performance evaluation study

A hybrid algorithm for instant optimization of beam weights in anatomy-based intensity modulated radiotherapy: A performance evaluation study

An empirical method for automatic determination of maximum number of segments in DMPO-based IMRT for Head and Neck cases

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