volume rendering of multi-block dataset

Dear Community,

is there a way to use volume rendering on multi-block datasets? My data consists of regular (Cartesian) blocks with different spacings. It is point data (but can of course be converted to cell data). The usual option “volume” in “Display (GeometryRepresentation):: Representation” is not exposed in the GUI, but according to my knowledge, people have managed to use Paraview (and VTK) for volume rendering of such data.

Any help would be greatly appreciated.

This is not supported; currently multiblocks of regular grids is not supported. But we are actively working on it.

For now, you can use the “Resample To Image” filter to resample all the blocks to a single dataset and then volume render that.

Thank you very much for your quick reply. Is there a way to maybe use an unstructured data format? I.e., is a filter available to resample to unstructured grid, and perform volume rendering thereof? The problem with the “resample to image” filter is that even modest datasets become huge when being resampled to an equidistant lattice.

You can use “Merge Blocks” to convert it to be an unstructrued grid instead, but I am not sure it’s going to be a better option memory size-wise unless your data is quite sparse.