Abstract
We present a novel technique for rendering multiple volume datasets using particles as rendering primitives. In previous techniques, a data-intermixing process was required since the function is multi-valued. Although weighting values should be determined in this process, there are no specific guidelines for doing so. In contrast, our technique does not require data intermixing since we represent a volume dataset as a set of tiny, opaque particles which are generated with a stochastic technique. We applied our technique to volume datasets used for radiotherapy treatment planning in order to confirm its effectiveness.
