New techniques for efficient sliding thin-slab volume visualization.
New techniques for efficient sliding thin-slab volume visualization.
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高效滑动薄板体积可视化的新技术。
DOI：
10.1109/42.938250
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发表时间：
2001
期刊：
影响因子：
--
通讯作者：
Higgins,WE
中科院分区：
文献类型：
--
作者：
Turlington,JZ;Higgins,WE
由当今的放射成像扫描仪获得的高分辨率三维（3-D）体积图像具有丰富的详细诊断信息。尽管有许多可视化技术可用于评估此类图像，但仍存在难以揭示的信息，例如小结构的位置（例如，纵隔淋巴结、气道狭窄区域）。最近，滑动薄板（STS）可视化被提出来改善内部结构的可视化。这些STS技术有时依赖于用户不透明度规范或额外的预处理，以及其他使用通用STS机制的渲染方法是可以想象的。作者介绍了两种STS体可视化技术。第一个是深度（透视）渲染过程，在薄体积的图像数据内产生信息的无障碍、高对比度的3-D视图。结果是相对平面位置的函数。因此，渲染视图准确地描绘了最初捕获为位置和强度的内部属性。第二种方法产生薄体积中强度变化的类似梯度的视图。结果可以有效地检测戏剧性的组织变化的发生和位置，否则通常无法视觉识别。这两种STS技术都利用时间相干性的概念，使用来自先前计算的片的信息来形成连续片的序列。这允许在通用计算机上进行有效的实时计算。此外，这些技术不需要预处理，并且结果不依赖于用户知识。使用3-D计算机断层扫描胸部图像的结果显示了新的STS技术的计算效率和视觉效果。
High-resolution three-dimensional (3-D) volumetric images obtained by today's radiologic imaging scanners are rich in detailed diagnostic information. Despite the many visualization techniques available to assess such images, there remains information that is challenging to uncover, such as the location of small structures (e.g., mediastinal lymph nodes, narrowed-airway regions). Recently, sliding thin-slab (STS) visualization was proposed to improve the visualization of interior structures. These STS techniques sometimes depend on user opacity specifications or extra preprocessing, and other rendering approaches that use the general STS mechanism are conceivable. The authors introduce two techniques for STS volume visualization. The first, a depth (perspective) rendering process, produces an unobstructed, high-contrast 3-D view of the information within a thin volume of image data. Results are a function of relative planar locations. Thus, rendered views accurately depict the internal properties that were initially captured as position and intensity. The second method produces a gradient-like view of the intensity changes in a thin volume. Results can effectively detect the occurrence and location of dramatic tissue variations, often not visually recognized otherwise. Both STS techniques exploit the concept of temporal coherence to form sequences of consecutive slabs, using information from previously computed slabs. This permits efficient real-time computation on a general-purpose computer. Further, these techniques require no preprocessing, and results are not dependent on user knowledge. Results using 3-D computed tomography chest images show the computational efficiency and visual efficacy of the new STS techniques.