Hagen T, Neidl K, Piepgras U
Institut für Neuroradiologie, Universitätskliniken des Saarlandes, Homburg/Saar.
Radiologe. 1994 Nov;34(11):632-8.
The development of special computer and software systems has exerted great influence on computer-assisted image processing in neuroradiology. In this article we try to give an overview of the present and future applications. The applications can be subdivided into segmentation, image analysis, three-dimensional imaging and image fusion. Segmentation plays an important role, because it is frequently the basis for the other methods. Image analysis, like planimetry, volumetry or the calculation of angles, is already used in clinical applications. In this way the course of diseases can be checked objectively. Three-dimensional imaging is especially useful in the planning of surgical and stereotactic approaches. The results and value of three-dimensional imaging depend on the segmentation technique. Therefore, they are evaluated differently. Image fusion allows the simultaneous presentation of image data of different modalities. In particular, the image fusion of morphological findings and functional parameters is applied in clinical neuroradiology. Our experience with these methods suggests that computer-assisted image processing will be of considerable help in neuroradiology.
特殊计算机和软件系统的发展对神经放射学中的计算机辅助图像处理产生了巨大影响。在本文中，我们试图对当前和未来的应用进行概述。这些应用可细分为分割、图像分析、三维成像和图像融合。分割起着重要作用，因为它常常是其他方法的基础。图像分析，如平面测量、体积测量或角度计算，已在临床应用中使用。通过这种方式，可以客观地检查疾病的进程。三维成像在手术和立体定向方法的规划中特别有用。三维成像的结果和价值取决于分割技术。因此，它们的评估方式不同。图像融合允许同时呈现不同模态的图像数据。特别是，形态学发现与功能参数的图像融合应用于临床神经放射学。我们在这些方法上的经验表明，计算机辅助图像处理将在神经放射学中提供相当大的帮助。
