Visualising a multi-dimensional volume data set is a computationally i
ntensive process. Parallel processing offers the potential for achievi
ng the visualisation in a reasonable time. This paper discusses how an
appropriate data management approach and the correct management of ta
sks in the parallel implementation can improve overall system performa
nce. A number of profiling and load balancing strategies are considere
d to exploit any coherence that may exist as the view point moves.