Title :
Bayesian image reconstruction
Author :
Johnson, Valen E. ; Chen, Chin-Tu ; Wong, Wing H. ; Hu, Xiaoping ; Metz, Charles E.
Abstract :
A Bayesian method is described for solving problems in image reconstruction from projections. The approach utilizes a Gibbs distribution to incorporate a priori spatial information. The model has been used for reconstruction of simulated data, data from phantom studies, and real scanning data. The results indicate that the technique has the potential to provide both improvement in spatial resolution and reduction of noise
Keywords :
Bayes methods; computerised tomography; Bayesian image reconstruction; Bayesian method; Gibbs distribution; a priori spatial information; image reconstruction from projections; noise reduction; spatial resolution; Bayesian methods; Density functional theory; Detectors; Image quality; Image reconstruction; Maximum likelihood estimation; Noise reduction; Radiology; Spatial resolution; Statistical distributions;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.95833
