Spatial Opacity Maps for Direct Volume Rendering of Regions of Interest

A. Aguilera, Alejandro León
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Abstract

Despite the mature state of the volume rendering field, its adoption in medical applications is hindered by its complex parametrization and control, and 2D slice based tools are still preferred for clinical workflows. In this paper, we introduce the concept of spatial opacity maps as an interactive tool for exploring volumetric data focusing on the rendering of features of interest. In a region growing fashion, the maps are dynamically created from a user input on the 2D slices, taking into account not only the density values of the structure but also the topology. Using this approach, an inexperienced user is able to generate meaningful 3D renderings with no need to tweak non-intuitive visualization parameters. The spatial opacity maps are independent of the current visualization parameters and they can be easily plugged into the volume rendering integral and combined with other approaches for region of interest (ROI) visualization. We combine our approach with a simple automatic transfer function generation algorithm to improve the visualization of the contextual data.
空间不透明度地图的直接体绘制感兴趣的地区
尽管体绘制领域处于成熟状态,但其复杂的参数化和控制阻碍了其在医疗应用中的应用,并且基于二维切片的工具仍然是临床工作流程的首选。在本文中,我们介绍了空间不透明度地图的概念,作为一种交互式工具,用于探索专注于感兴趣的特征渲染的体积数据。在区域增长方式中,地图是根据用户在2D切片上的输入动态创建的,不仅要考虑结构的密度值,还要考虑拓扑结构。使用这种方法,一个没有经验的用户能够生成有意义的3D渲染,而无需调整非直观的可视化参数。空间不透明度图不依赖于当前的可视化参数,可以很容易地插入到体绘制积分中,并与其他方法相结合,实现感兴趣区域(ROI)可视化。我们将我们的方法与简单的自动传递函数生成算法相结合,以提高上下文数据的可视化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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