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The stochastic point-cloud rendering of volume data interprets each voxel scalar as a probability. A high density value is likely to be drawn, and a low density value is unlikely to be drawn. Thus, dense clusters of points indicate a high density region in the volume. Given a sufficiently high sampling resolution, densities can be rendered quite accurately. A low sampling resolution can provide a real-time, rough approximation of the volume with minimal graphic primitives. A scalar remapping function is incorporated to allow control of the total display density, the scalar ramp range, and an upper cutoff value for specifying a ramped iso-layer.
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