Englmeier K H, Wieber A, Milachowski K A, Hamburger C, Mittlmeier T
GSF-Institut für Medizinische Informatik und Systemforschung, Neuherberg, Federal Republic of Germany.
Arch Orthop Trauma Surg. 1990;109(4):186-90. doi: 10.1007/BF00453138.
Computed tomography is a commonly used technique for detecting pathological alterations in soft tissues and the skeleton. Three-dimensional images of the skeleton are very useful for planning surgical treatment and monitoring therapy, but unfortunately mental reconstruction of complex three-dimensional anatomical structures from conventional tomography is very difficult. This article describes a process by which automated analysis of the regions of interest in the computed tomographic (CT) images yields the contours of the surfaces which can be presented pseudo-three-dimensionally using Phong's lighting model and Gouraud's shading methods. Three applications in the areas of orthopedics and neurosurgery demonstrate the efficacy of the method.
计算机断层扫描是检测软组织和骨骼病理变化的常用技术。骨骼的三维图像对于手术治疗规划和治疗监测非常有用，但遗憾的是，从传统断层扫描中对复杂三维解剖结构进行心理重建非常困难。本文描述了一个过程，通过该过程对计算机断层扫描（CT）图像中的感兴趣区域进行自动分析，得出表面轮廓，这些轮廓可以使用冯氏光照模型和高洛德阴影法以伪三维方式呈现。在骨科和神经外科领域的三个应用证明了该方法的有效性。
