Open AccessComputer ScienceMedicine

Mengjiao Han, I. Wald, W. Usher, Qi Wu, Feng Wang, Valerio Pascucci, C. Hansen, Christopher R. Johnson

2019.6.1Eurographics Workshop on Visual Computing for Biomedicine

DOI: 10.1111/cgf.13703

tlooto Summary

This work presents a general high‐performance technique for ray tracing generalized tube primitives, and provides interactive, high‐quality rendering, with low memory overhead within the OSPRay ray tracing framework.

Abstract

We present a general high‐performance technique for ray tracing generalized tube primitives. Our technique efficiently supports tube primitives with fixed and varying radii, general acyclic graph structures with bifurcations, and correct transparency with interior surface removal. Such tube primitives are widely used in scientific visualization to represent diffusion tensor imaging tractographies, neuron morphologies, and scalar or vector fields of 3D flow. We implement our approach within the OSPRay ray tracing framework, and evaluate it on a range of interactive visualization use cases of fixed‐ and varying‐radius streamlines, pathlines, complex neuron morphologies, and brain tractographies. Our proposed approach provides interactive, high‐quality rendering, with low memory overhead.

Citation format

HAN, Mengjiao, et al. Ray tracing generalized tube primitives: Method and applications. Eurographics Workshop on Visual Computing for Biomedicine, 2019, 38: 467–478.