Han Mengjiao, Wald Ingo, Usher Will, Wu Qi, Wang Feng, Pascucci Valerio, Hansen Charles D, Johnson Chris R
SCI Institute, University of Utah.
Intel Corporation.
Eurographics Workshop Vis Comput Biomed. 2019 Jun;38(3):467-478. doi: 10.1111/cgf.13703. Epub 2019 Jul 10.
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.
我们提出了一种用于光线追踪广义管状基元的通用高性能技术。我们的技术有效地支持具有固定和可变半径的管状基元、具有分支的一般无环图结构,以及通过去除内表面实现的正确透明度。此类管状基元在科学可视化中广泛用于表示扩散张量成像纤维束、神经元形态以及三维流的标量或矢量场。我们在OSPRay光线追踪框架内实现了我们的方法,并在一系列固定和可变半径流线、迹线、复杂神经元形态和脑纤维束的交互式可视化用例上对其进行了评估。我们提出的方法提供了交互式的高质量渲染,且内存开销低。