Title :
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
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;
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.1997.619405
