CT image reconstruction by stochastic relaxation

Author

Ali, Fathelalem F. ; Yoyegawa, S. ; Nakao, Zensho ; Chen, Yen-wei

Author_Institution

Dept. of EEE, Ryukyus Univ., Okinawa, Japan

fYear

1999

fDate

36495

Firstpage

345

Lastpage

348

Abstract

Presented in the paper is a stochastic relaxation algorithm for reconstruction of CT image from projection data obtained from four different directions. The basic idea of the algorithm presented is similar to that of the algorithm applied by S. Geman and D. Geman (1984) to image restoration. An initial configuration of an image is generated randomly. Each pixel in the image is represented by a unit in a reconstruction in a network system. An energy function describes the current states of the system. The algorithm works to minimize the energy of the system. Dynamics of the system involve visiting each unit in the reconstruction layer individually and setting its state to a new one stochastically according to a probability distribution, determined as the sigmoid of the output from all the units

Keywords

computerised tomography; image reconstruction; relaxation; stochastic processes; CT image reconstruction; computed tomography; energy function; image restoration; network system; probability distribution; projection data; reconstruction layer; stochastic relaxation algorithm; Computed tomography; Image generation; Image reconstruction; Image restoration; Phase measurement; Pixel; Production; Simulated annealing; Stochastic processes; X-ray imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge-Based Intelligent Information Engineering Systems, 1999. Third International Conference

Conference_Location

Adelaide, SA

Print_ISBN

0-7803-5578-4

Type

conf

DOI

10.1109/KES.1999.820194

Filename

820194