Abraham Peled, Bede Liu
IEEE Transactions on Acoustics, Speech, and Signal Processing
We consider a new problem in tomographic imaging. In a sequence of transverse images, adjacent slices often look similar to each other. We investigate the possibility of using this correlation to help reconstruct the sequence with 2-D in-plane data. The problem is formulated as a maximum a posteriori (MAP) estimation problem, using an edge-preserving Markov random field prior model. Both Gaussian and Poisson data are considered. Some improvements over the single-slice MAP reconstructions are observed. © 1996 IEEE.
Abraham Peled, Bede Liu
IEEE Transactions on Acoustics, Speech, and Signal Processing
Wei Ding, Bede Liu
IEEE TCSVT
Toyohisa Kaneko, Bede Liu
Journal of the ACM
Bede Liu, Peter A. Franaszek
IEEE Transactions on Circuit Theory