CT image reconstruction by the Boltzmann machine

Author

Nakao, Zensho ; Noborikawa, Masatomo ; Yen-Wei Chen ; Kina, Yasuyula

Author_Institution

Fac. of Eng., Ryukyus Univ., Okinawa, Japan

Volume

2

fYear

1997

fDate

27-23 May 1997

Firstpage

327

Abstract

The Boltzmann machine model is used in CT image reconstruction from four projections. The system is based on Boltzmann simulated annealing for adaptation of pixel values. As the temperature is decreased, the gray level of images is increased exponentially to 256. Satisfactory agreement between the original and reconstructed images was obtained in simulation, and the results obtained are compared to those obtained by the well-known algebraic reconstruction technique (ART), and it was found that the neural network method is more effective than ART when the number of projection directions is very limited

Keywords

Boltzmann machines; backpropagation; computerised tomography; image reconstruction; simulated annealing; tomography; Boltzmann machine; Boltzmann simulated annealing; CT image reconstruction; algebraic reconstruction technique; backpropagation; computerised tomography; gray level; neural network; pixel values; projection directions; projections; simulation; temperature; Computational modeling; Computed tomography; Electronic mail; Image reconstruction; Inverse problems; Neural networks; Pixel; Simulated annealing; Subspace constraints; Temperature;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/KES.1997.619405

Filename

619405