Title :
Evolutionary CT image reconstruction
Author :
Nakao, Zensho ; Takashibu, Midori ; Chen, Yen-wei
Author_Institution :
Fac. of Eng., Ryukyus Univ., Okinawa, Japan
Abstract :
An evolutionary algorithm for reconstructing CT gray images from projections is presented; the algorithm reconstructs two-dimensional unknown images from four one-dimensional projections. A Laplacian constraint term is included in the fitness function of the genetic algorithm for handling smooth images, and the evolutionary process reconstructs images into finer ones by partitioning the images gradually thereby increasing the chromosome size exponentially as the generation proceeds. Results obtained are compared to those obtained by the well-known algebraic reconstruction technique (ART), and it was found that the evolutionary method is more effective than ART when the number of projection directions is very limited
Keywords :
computerised tomography; genetic algorithms; image reconstruction; tomography; 1D projections; 2D unknown image reconstruction; Laplacian constraint term; algebraic reconstruction technique; chromosome size; evolutionary gray CT image reconstruction; fitness function; genetic algorithm; image partitioning; projections; smooth image handling; Biological cells; Computed tomography; Evolutionary computation; Genetic algorithms; Image reconstruction; Inverse problems; Laplace equations; Partitioning algorithms; Pixel; Subspace constraints;
Conference_Titel :
Knowledge-Based Intelligent Electronic Systems, 1997. KES '97. Proceedings., 1997 First International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-3755-7
DOI :
10.1109/KES.1997.619422
