Title :
Medical image mapping using collaborative genetic algorithm
Author :
Matsui, Kazuhiro ; Sase, Mikiya ; Kosugi, Yukio
Author_Institution :
Interdisciplinary Graduate Sch. of Sci. & Eng., Tokyo Inst. of Technol., Yokohama, Japan
Abstract :
We expand the concept of genetic algorithms (GAs) by introducing a concept of consensus among individuals and propose a Collaborative Genetic Algorithm (CGA). As an example of its applications, a medical image mapping system is developed using CGA. We tested this system by simulations with brain MR images
Keywords :
biomedical NMR; biomedical imaging; brain; genetic algorithms; medical image processing; brain MR images; collaborative genetic algorithm; consensus; individuals; medical image mapping; simulations; Biological system modeling; Biomedical engineering; Biomedical imaging; Brain modeling; Collaboration; Collaborative work; Genetic algorithms; Humans; Medical simulation; System testing;
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.1994.411877
