Marek Zimányi, Silvester Czanner, Andrej Ferko zimanyi, czanner, ferko@fmph.uniba.sk Comenius University, SK-842 15 Bratislava, SLOVAKIA
Abstract The volume reconstruction methods give a powerful tool for providing
appropriate visualisation of a measured spatial data. However, the input
data are often restricted to a set of slices (CT, MRI, or others). In the
paper we examine the more general input sets and we introduce three ways
how to reconstruct the volume from one possible not sliced input. We introduce
a slice-oriented reconstruction method based on Markov Random Fields, simulated
annealing and discuss using the method in broader context.