Hong H, Grosskopf S, Kim M H
Department of Computer Science and Engineering, Ewha Womans University, 11-1 Daehyun-dong, Sudamun-gu 120-750, Seoul, South Korea.
Comput Biol Med. 2001 Nov;31(6):481-98. doi: 10.1016/s0010-4825(01)00021-x.
In this paper, we present a novel technique of improving volume rendering quality and speed by integrating original volume data and global model information attained by segmentation. The segmentation information prevents object occlusions that may appear when volume rendering is based on local image features only. Thus the presented visualization technique provides meaningful visual results that enable a clear understanding of complex anatomical structures. In the first part, we describe a segmentation technique for extracting the region of interest based on an active contour model. In the second part, we propose a volume rendering method for visualizing the selected portions of fuzzy surfaces extracted by local image processing methods. We show the results of selective volume rendering of left and right ventricle based on cardiac datasets from clinical routines. Our method offers an accelerated technique to accurately visualize the surfaces of segmented objects.
在本文中，我们提出了一种通过整合原始体数据和通过分割获得的全局模型信息来提高体绘制质量和速度的新技术。分割信息可防止仅基于局部图像特征进行体绘制时可能出现的物体遮挡。因此，所提出的可视化技术提供了有意义的视觉结果，能够清晰地理解复杂的解剖结构。在第一部分，我们描述了一种基于活动轮廓模型提取感兴趣区域的分割技术。在第二部分，我们提出了一种体绘制方法，用于可视化通过局部图像处理方法提取的模糊表面的选定部分。我们展示了基于临床常规心脏数据集对左右心室进行选择性体绘制的结果。我们的方法提供了一种加速技术，能够准确地可视化分割物体的表面。
