Manipulation, Display, and Analysis of Three-Dimensional Biological Images
Manipulation, Display, and Analysis of Three-Dimensional Biological Images
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三维生物图像的操作、显示和分析
DOI：
10.1007/978-1-4615-7133-9_13
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发表时间：
1990
期刊：
影响因子：
--
通讯作者：
D. Agard
中科院分区：
文献类型：
--
作者：
Hans Chen;J. Sedat;D. Agard
由于光学显微镜技术的巨大进步，现在可以用电子显微镜或光学显微镜在三维空间中检查生物标本。虽然用于生成三维重建的算法是众所周知的，但仍有许多工作要做，以开发用于显示和分析所得到的复杂三维数据的方法。在简要讨论了用于存储三维图像数据的合理文件格式及其属性（例如像素间距、方向、大小等）之后，我们将继续讨论三维图像数据处理的两个主要方面。第一个涵盖了图像处理方案，增强功能的数据和一些计算方法，操纵三维数据集。在第二部分中，我们将讨论图像显示系统的软件设计和硬件要求的背景下，必须考虑方便的数据可视化和测量。大量的努力已经花在开发一个通用的显示系统，也可以用于模型的建立和分析。通过模型构建，我们指的是三维体积图像中的特征的交互式跟踪。在本章中，我们将区分直接利用存储为连续像素集（也称为体积数据或体素数据）的三维图像数据的显示方法和将数据转换为定义单层轮廓表面的多边形顶点集的显示方法。虽然后一种方法包含的信息比体积方法少得多，但它可以制作出令人惊叹的图片。图1显示了处理三维数据的典型过程，包括图像增强、数据操作、数据显示和分析。
Due to dramatic advances in optical microscope technology, it is now possible to examine biological specimens in three-dimensions with either electron microscopy or light microscopy. Although the algorithms used for generating the three-dimensional reconstructions are well known, much work remains on developing methods for the display and analysis of the resultant complicated three-dimensional data. After brief discussion of a rational file format designed for storing three-dimensional image data and its properties (e.g. pixel spacing, orientation, size etc), we will go on to discuss two major aspects of three-dimensional image data handling. The first covers image processing schemes for enhancing features in the data and some computational methods for manipulating three-dimensional data sets. In the second part, we will discuss the image display system in the context of software design and hardware requirements, which must be considered for convenient data visualization and measurement. Much effort has been spent on developing a generalized display system that can also be used for model building and analysis. By model building we mean the interactive tracking of features in three-dimensional volumetric images. Throughout this chapter we will make a distinction between display methods that directly utilize three-dimensional image data stored as a contiguous set of pixels (also called volumetric data, or voxel data) and those that convert the data into a set of polygon vertices that define a single-level contour surface. Although this latter approach contains much less information than volumetric approaches, it can make stunning pictures. Figure 1 shows a typical procedure for handling three-dimensional data involving image enhancement, data manipulation, data display and analysis.