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Locations of discontinuities as priors for improved Bayesian reconstructions from projections [emission tomography]

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4 Author(s)
Lee, M. ; Dept. of Diagnostic Radiol., Yale Univ., New Haven, CT, USA ; Gindi, G. ; Rangarajan, A. ; Zubal, I.G.

A Bayesian image reconstruction method from projection data using explicit discontinuity locations as priors is proposed. The algorithm seeks smooth solutions with occasional discontinuities with a special coupling term that influences the creation of discontinuities in the vicinity of the significant locations. It is shown that the reconstruction corresponds to the use of a generic piecewise smoothness constraint. The model incorporates prior knowledge of discontinuity location into a reconstruction algorithm. The results appear favorable

Published in:

Bioengineering Conference, 1991., Proceedings of the 1991 IEEE Seventeenth Annual Northeast

Date of Conference:

4-5 Apr 1991