OPTIMIZATION OF BEAM ORIENTATION AND WEIGHT IN RADIOTHERAPY TREATMENT PLANNINGUSING A GENETIC ALGORITHM

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

FAGHIHI R.; MOSLEH SHIRAZI M.A.; MORADI MOKARAM F.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Iranian Journal of Medical Physics Year:2009 | Volume:6 | Issue:2 (23) Page(s): 51-58

Download Full-Text

Persian Verion

View:

868

Download:

Cites:

Information Journal Paper

Title

OPTIMIZATION OF BEAM ORIENTATION AND WEIGHT IN RADIOTHERAPY TREATMENT PLANNINGUSING A GENETIC ALGORITHM

Author(s)

FAGHIHI R. | MOSLEH SHIRAZI M.A. | MORADI MOKARAM F. | Issue Writer Certificate

Keywords

GENETIC ALGORITHMQ2

TREATMENT PLANNINGQ3

DOSE DISTRIBUTIONQ3

MATLAB SOFTWAREQ3

Abstract

Introduction: The selection of suitable beam angles and weights in external-beam radiotherapy is at present generally based upon the experience of the planner. Therefore, automated selection of beam angles and weights in forward-planned radiotherapy will be beneficial.Material and Methods: In this work, an efficient method is presented within the MATLAB environment to investigate how to improve the DOSE DISTRIBUTIONs by selecting suitable coplanar beam angles and weights for the beam. In the beam angle and weight selection algorithm, the optimal beam angles and weights correspond to the lowest objective function value of the DOSE DISTRIBUTIONs of each group of candidate beams. Optimal weights and angles reach a balance between all the objectives. In this work, we used a GENETIC ALGORITHM and adopted a real-number encoding method to represent both beam weights and angles with an assignable number of repetitions. For the evolution of this algorithm, we used both monophasic and biphasic methods. In monophasic evolution, the chromosome containing the weights and angles is evolved in a single phase. In biphasic evolution, the chromosome is evolved while keeping one parameter (e.g., weight) constant and then, in the second phase, the evolution is continued while keeping the other parameter (e.g., angle) constant. The dose calculation was carried out using “correction-based techniques”.Result: Simple and simulated clinical cases are presented to test the algorithm. They show that the biphasic evolution requires more computation time compared to monophasic (typically 40 and 20 minutes respectively) but results in a better optimization.Conclusion: The results show the efficacy of the algorithm and its fairly acceptable computation time.

Cites

No record.

References

No record.

Cite

APA: Copy

FAGHIHI, R., MOSLEH SHIRAZI, M.A., & MORADI MOKARAM, F.. (2009). OPTIMIZATION OF BEAM ORIENTATION AND WEIGHT IN RADIOTHERAPY TREATMENT PLANNINGUSING A GENETIC ALGORITHM. IRANIAN JOURNAL OF MEDICAL PHYSICS, 6(2 (23)), 51-58. SID. https://sid.ir/paper/97026/en

Vancouver: Copy

FAGHIHI R., MOSLEH SHIRAZI M.A., MORADI MOKARAM F.. OPTIMIZATION OF BEAM ORIENTATION AND WEIGHT IN RADIOTHERAPY TREATMENT PLANNINGUSING A GENETIC ALGORITHM. IRANIAN JOURNAL OF MEDICAL PHYSICS[Internet]. 2009;6(2 (23)):51-58. Available from: https://sid.ir/paper/97026/en

IEEE: Copy

R. FAGHIHI, M.A. MOSLEH SHIRAZI, and F. MORADI MOKARAM, “OPTIMIZATION OF BEAM ORIENTATION AND WEIGHT IN RADIOTHERAPY TREATMENT PLANNINGUSING A GENETIC ALGORITHM,” IRANIAN JOURNAL OF MEDICAL PHYSICS, vol. 6, no. 2 (23), pp. 51–58, 2009, [Online]. Available: https://sid.ir/paper/97026/en

Related Journal Papers