Beier J, Liebig T, Bittner R C, Tröger J, Wust P, Schedel H, Fleck E, Kaiser D, Felix R
Strahlen- und Poliklinik, Medizinische Fakultät der Humboldt-Universität zu Berlin.
Pneumologie. 1996 Sep;50(9):672-8.
To improve the pre-operative planning of interventional procedures in thorax surgery different methods of computer-graphical visualization of intrapulmonary lesions and adjacent anatomical structures based on CT and MR data were realized and compared to each other.
In 21 patients with intrapulmonary lesions the image data was segmented by interactive and automatic algorithms and different reconstruction techniques were applied (maximum intensity projection; color-encoded and transparent surfaces; volume rendering). Based on these three-dimensional reconstructions, different views from arbitrary perspectives (including simulated endoscopic images) were generated and animated film sequences of the 3D scene were displayed with 30 frames/second.
For all patients under review, a high-quality presentation of the relevant structures was obtained by use of the applied computer-graphical techniques. Even combinations of different visualization methods in one image can be generated with the software we developed.
The various methods for image segmentation allow a fast and comfortable processing even of large data sets. The calculated values of tumor surface and volume can be used for quantitative studies and therapy control. The planning of surgical and interventional procedures can be supported by the simultaneous visualization of the intrathoracic lesion and the surrounding structures.
为改进胸外科介入手术的术前规划，实现了基于CT和MR数据的肺内病变及相邻解剖结构的不同计算机图形可视化方法，并相互比较。
对21例肺内病变患者，采用交互式和自动算法对图像数据进行分割，并应用不同的重建技术（最大强度投影；彩色编码和透明表面；容积再现）。基于这些三维重建，生成了任意视角的不同视图（包括模拟内镜图像），并以每秒30帧的速度显示3D场景的动画电影序列。
对于所有接受检查的患者，通过应用计算机图形技术获得了相关结构的高质量呈现。使用我们开发的软件甚至可以在一幅图像中生成不同可视化方法的组合。
各种图像分割方法即使对大数据集也能进行快速、便捷的处理。计算出的肿瘤表面和体积值可用于定量研究和治疗控制。同时可视化胸内病变和周围结构可为手术和介入手术的规划提供支持。
