INTERACTIVE 3D SEGMENTATION OF MRI AND CT VOLUMES USING MORPHOLOGICAL OPERATIONS
INTERACTIVE 3D SEGMENTATION OF MRI AND CT VOLUMES USING MORPHOLOGICAL OPERATIONS
复制标题
DOI：
10.1097/00004728-199203000-00019
复制
发表时间：
1992-03-01
影响因子：
1.3
通讯作者：
HANSON, WA
中科院分区：
文献类型：
--
作者：
HOHNE, KH;HANSON, WA
如果体内的物体能够以三维（3D）渲染视图呈现，层析体图像的分析将大大便利。由于图像分割问题仍未得到解决，这种能力尚未得到发展。我们描述了一种新的方法，通过允许人类用户使用形态学函数交互式地分割图像来绕过这个问题。这种分割与3D可视化同时进行，提供直接的视觉反馈，以指导用户在分割过程中。因此，我们的方法使用人类自己的判断和知识，而不是试图复制复杂和知之甚少的人类模式识别能力。我们提出了一项研究，以证明使用MR和CT图像的这种方法的一般可行性。交互式3D图像处理的大量数据和计算需求超出了当前处理器的限制，但下一代计算机容量的增加有望使这种方法变得实用。
Analysis of tomographic volume imagery would be greatly facilitated if the objects within the volume could be presented in three-dimensionally (3D) rendered views. Such a capability has not been developed in large part because the problem of image segmentation remains unsolved. We describe a new approach that circumvents this problem by allowing the human user to segment images interactively using morphology functions. This segmentation is performed concurrently with 3D visualization providing direct visual feedback to guide the user in the segmentation process. Thus, rather than attempting to duplicate the complex and poorly understood human pattern recognition capability, our approach uses the human's own judgment and knowledge. We present a research study to demonstrate the general feasibility of this approach using MR and CT images. The massive data and computational requirements for interactive 3D image processing exceed current processor limits, but the increased capacities of the next generation of computers are expected to make this approach practical.