Xu Chunxiao, Xu Xinran, Zhang Jiatian, Cao Yiheng, Zhao Lingxiao
School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China.
Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215613, China.
J Imaging. 2025 Jun 11;11(6):193. doi: 10.3390/jimaging11060193.
Physically based realistic direct volume rendering (DVR) is a critical area of research in scientific data visualization. The prevailing realistic DVR methods are primarily rooted in outdated theories of participating media rendering and often lack comprehensive analyses of their applicability to realistic DVR scenarios. As a result, the fidelity of material representation in the rendered output is frequently limited. To address these challenges, we present a novel multi-material radiative transfer model (MM-RTM) designed for realistic DVR, grounded in recent advancements in light transport theories. Additionally, we standardize various transfer function techniques and propose five distinct forms of transfer functions along with proxy volumes. This comprehensive approach enables our DVR framework to accommodate a wide range of complex transfer function techniques, which we illustrate through several visualizations. Furthermore, to enhance sampling efficiency, we develop a new multi-hierarchical volumetric acceleration method that supports multi-level searches and volume traversal. Our volumetric accelerator also facilitates real-time structural updates when applying complex transfer functions in DVR. Our MM-RTM, the unified representation of complex transfer functions, and the acceleration structure for real-time updates are complementary components that collectively establish a comprehensive framework for realistic multi-material DVR. Evaluation from a user study indicates that the rendering results produced by our method demonstrate the most realistic effects among various publicly available state-of-the-art techniques.
基于物理的真实感直接体绘制(DVR)是科学数据可视化研究中的一个关键领域。现有的真实感DVR方法主要基于过时的参与介质渲染理论,并且常常缺乏对其在真实感DVR场景中适用性的全面分析。因此,渲染输出中材质表示的逼真度常常受到限制。为应对这些挑战,我们提出了一种专为真实感DVR设计的新型多材质辐射传输模型(MM-RTM),其基于光传输理论的最新进展。此外,我们对各种传递函数技术进行了标准化,并提出了五种不同形式的传递函数以及代理体数据。这种全面的方法使我们的DVR框架能够适应广泛的复杂传递函数技术,我们通过几个可视化示例进行了说明。此外,为提高采样效率,我们开发了一种新的多层次体加速方法,该方法支持多级搜索和体遍历。我们的体加速器在DVR中应用复杂传递函数时还便于实时结构更新。我们的MM-RTM、复杂传递函数的统一表示以及实时更新的加速结构是互补的组件,它们共同为真实感多材质DVR建立了一个全面的框架。用户研究评估表明,我们的方法产生的渲染结果在各种公开可用的最先进技术中展示出最逼真的效果。