Title :
optimization radiation therapy planning using genetic algorithms
Author :
Edirisinghe, C.D. ; Acharya, R.S. ; Sibata, C.
Author_Institution :
Dept. of Electr. & Comput. Eng., State Univ. of New York, Buffalo, NY, USA
Abstract :
The authors describe the use of a genetic algorithm to optimize parameters such as beam widths, weights and angles in radiation therapy treatment planning. The desired optimization goal involves minimizing the normal tissue dose and giving the target volume at least the minimum dose required while not exceeding a given amount are considered the goals in optimizing
Keywords :
radiation therapy; beam weight; beam width; normal tissue dose minimization; optimization goals; parameters optimization; radiation beam angle; radiation therapy planning optimization; radiotherapy dosimetry; target volume dose; Biomedical applications of radiation; Biomedical computing; Biomedical engineering; Biomedical imaging; Genetic algorithms; Gravity; Human factors; Neoplasms; Radio control; Shape control;
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-2050-6
DOI :
10.1109/IEMBS.1994.415484
