Image reconstruction of computer tomography from a few views based on a Gaussian machine

Shaohua Chen; Qing Wang

doi:10.1117/12.538993

25 September 2003 Image reconstruction of computer tomography from a few views based on a Gaussian machine

Shaohua Chen, Qing Wang

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.538993
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

Abstract

A new reconstruction algorithm of computer tomography (CT) from a few views based on a neural network of Gaussian Machine (GM) is presented. The problem of image reconstruction is formulated as optimization under the criterion of maximum entropy, and a GM is then constructed to solve the optimization problem using simulated annealing technique with hyperbolic temperature adjustment. We demonstrate both the Simultaneous Algebraic Reconstruction Technique (SART) reconstruction of this image and the GM reconstruction using the same measured input data. The effect of noise in the projection data, projection angles and sample intervals are addressed. The results of numerical simulation show that this technique using the projection data obtained from four views with the projection angles 45°apart has fairly high accuracy (the average relative error is 0.03%) and good stability against noise.

Citation Download Citation

Shaohua Chen and Qing Wang "Image reconstruction of computer tomography from a few views based on a Gaussian machine", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.538993

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