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An Evolutionary Algorithm for CT Image Reconstruction
Fathelalem F. Ali*, Kazunori Matsuo**, Zensho Nakao** and Yen-Wei Chen**
*Department of Management & Information Systems, Meio University, Nago-shi, Okinawa 905-8585, Japan
**Department of EEE, University of the Ryukyus, Okinawa 903-0213, Japan
Received:December 20, 1999Accepted:April 20, 2000Published:August 20, 2000
Keywords:Boltzmann mutation, CT image, Genetic algorithms, Median mutation
Abstract
Presented in this paper is an evolutionary approach to the problem of CT image reconstruction: an evolutionary algorithm (EA) is used to reconstruct CT images from a limited number of projection data, where conventional methods (e.g. Algebraic Reconstruction Techniques ART) solution tends to be unsatisfactory. We use traditional as well as adapted genetic operators in our evolutionary approach to the CT image reconstruction problem. The evolutionary algorithm yielded good results that challenge the conventional ART.
Cite this article as:F. Ali, K. Matsuo, Z. Nakao, and Y. Chen, “An Evolutionary Algorithm for CT Image Reconstruction,” J. Robot. Mechatron., Vol.12 No.4, pp. 466-473, 2000.Data files:
Copyright© 2000 by Fuji Technology Press Ltd. and Japan Society of Mechanical Engineers. All right reserved.
